With the continuous development of the offshore wind industry,the design concept of composite foundation has been given attention in the past decade.This paper presents an accurate method for investigating the horizon...With the continuous development of the offshore wind industry,the design concept of composite foundation has been given attention in the past decade.This paper presents an accurate method for investigating the horizontal vibration of monopile-friction wheel composite foundations in layered saturated soil.Firstly,the three-dimensional continuum mechanics theory with the range of linear elasticity is introduced to calculate the frictional resistance distributed on the upper soil surface.Then,the resistances of multilayered soils and inviscid seawater to the pile shaft under horizontal harmonic excitation are obtained using Novak's plane strain model,Biot's porous media theory and radiationwave theory.Thirdly,the expressions for the deformation,bending moment and internal force of the Euler-Bernoulli pile are derived using the boundary conditions with definitephysical meaning and transfer matrix method.By comparing with the results of 1g laboratory test and the idealized formula reported by the literature,the rationality and accuracy of the developed dynamical model can be verified.Finally,this paper conducts a series of worked examples to investigate the influencesof the elastic modulus and thickness of three-layer saturated soil and the location of interlayer soil on the horizontal dynamic vibration of composite foundation.The results show that an increase in elastic modulus of the surface soil is an effective way to improve the dynamic stability of the composite foundation in service conditions.The conclusions drawn from the numerical examples can develop some guidelines for the current foundation design of offshore wind turbines.展开更多
This study explored the transformative potential of artificial intelligence(AI)in addressing the challenges posed by terahertz ultra-massive multiple-input multiple-output(UM-MIMO)systems.It begins by outlining the ch...This study explored the transformative potential of artificial intelligence(AI)in addressing the challenges posed by terahertz ultra-massive multiple-input multiple-output(UM-MIMO)systems.It begins by outlining the characteristics of terahertz UM-MIMO systems and identifies three primary challenges for transceiver design:computational complexity,modeling difficulty,and measurement limitations.The study posits that AI provides a promising solution to these challenges.Three systematic research roadmaps are proposed for developing AI algorithms tailored to terahertz UM-MIMO systems.The first roadmap,model-driven deep learning(DL),emphasizes the importance of leveraging available domain knowledge and advocates the adoption of AI only to enhance bottleneck modules within an established signal processing or optimization framework.Four essential steps are discussed:algorithmic frameworks,basis algorithms,loss function design,and neural architecture design.The second roadmap presents channel state information(CSI)foundation models,aimed at unifying the design of different transceiver modules by focusing on their shared foundation,that is,the wireless channel.The training of a single compact foundation model is proposed to estimate the score function of wireless channels,which serve as a versatile prior for designing a wide variety of transceiver modules.Four essential steps are outlined:general frameworks,conditioning,site-specific adaptation,and the joint design of CSI foundation models and model-driven DL.The third roadmap aims to explore potential directions for applying pretrained large language models(LLMs)to terahertz UM-MIMO systems.Several application scenarios are envisioned,including LLM-based estimation,optimization,search,network management,and protocol understanding.Finally,the study highlights open problems and future research directions.展开更多
Non-uniform foundation settlement represents a prevalent engineering challenge that compromises the structural integrity and functional usability of buildings. This study conducts a comprehensive analysis of its cause...Non-uniform foundation settlement represents a prevalent engineering challenge that compromises the structural integrity and functional usability of buildings. This study conducts a comprehensive analysis of its causes, associated hazards, and mitigation strategies. The primary contributing factors include uneven soil distribution in foundations, significant pressure variations at different levels, groundwater infiltration, and disturbances from external construction activities. Such settlement can lead to severe structural damage—including wall cracks, compromised beam-column joints, building tilting, and impaired functionality—with varying degrees of sensitivity observed across different building types. Effective prevention requires proactive measures during design and construction phases, including enhanced foundation investigation, selection of appropriate structural configurations, application of suitable foundation treatment techniques, and rigorous quality control throughout construction. For existing cases of non-uniform settlement, specialized solutions such as foundation replacement or grouting reinforcement should be employed, complemented by structural reinforcement of upper components to ensure long-term stability and usability. The findings provide comprehensive theoretical support and practical recommendations for architectural design, construction practices, and post-construction maintenance.展开更多
The increasing complexity of future networks demands intelligent,scalable,and adaptive management solutions.Digital twin network(DTN)provides a high-fidelity replica of the physical network for monitoring and optimiza...The increasing complexity of future networks demands intelligent,scalable,and adaptive management solutions.Digital twin network(DTN)provides a high-fidelity replica of the physical network for monitoring and optimization,but faces significant limitations,including complex modeling,high synchronization overhead,and limited scalability.Foundation models(large pre-trained AI models)offer powerful semantic understanding and reasoning abilities,yet suffer from high training costs,risks of generating hallucinations,and limited interpretability.To address these challenges,this paper proposes an integrated architecture that combines DTN with foundation models,leveraging their complementary strengths.DTN ensures fidelity and domain-specific modeling,and acts as a validation platform to help facilitate the training and verification of network foundation models.Foundation models enable data-driven automation,downstream model generation,and adaptive decision-making.Furthermore,we present use cases related to twin network configuration verification and protocol generation,demonstrating enhanced scalability,efficiency,and intelligence for intelligent networks by bridging foundation models and digital twin.展开更多
The utilization of marine resources has become a strategic priority of global significance.Offshore platforms and offshore wind turbines are critical components of offshore energy development systems.To address the co...The utilization of marine resources has become a strategic priority of global significance.Offshore platforms and offshore wind turbines are critical components of offshore energy development systems.To address the complexity,randomness,and uncertainty inherent in the marine environment and to ensure the safety of offshore installations during service,structural analysis and optimization of their foundations are essential.Jacket foundations,which provide high rigidity and stability,are suitable for shallow water and have emerged as the preferred foundation type for deepwater offshore installations.This study systematically reviews recent advances in theoretical modeling,numerical simulation,and experimental validation of structural response analyses and optimization methodologies for jacket foundations under complex marine conditions.Driven by diverse engineering requirements,researchers have proposed various structural optimization strategies.Existing efforts have primarily focused on structural topology,lightweight design,and performance-based optimization.Furthermore,this review identifies key technical challenges and outlines future research directions for optimizing offshore jacket foundations in ocean engineering.展开更多
Structural optimization plays a crucial role in reducing the cost of offshore wind power,particularly in deep-water regions where the weight of jacket foundations increases substantially.However,there is ongoing debat...Structural optimization plays a crucial role in reducing the cost of offshore wind power,particularly in deep-water regions where the weight of jacket foundations increases substantially.However,there is ongoing debate regarding the water-depth range that is suitable for jacket foundations,and the threshold where floating foundations become more viable.Existing studies have not quantitatively analyzed how water depth affects jacket foundation mass,and have often struggled to handle the high dimensionality and stringent constraints inherent in jacket foundation optimization problems.In this study,we propose an optimization framework that couples parametric finite element analysis with a genetic algorithm to minimize the mass of jacket foundations based on three actual engineering projects at varying water depths.A novel population initialization strategy incorporating engineering experience-based solutions is introduced to improve convergence efficiency and solution quality.Comparative analysis against preliminary designs and existing offshore wind projects demonstrates the model’s ability to achieve cost-effective solutions,specifically reducing required jacket masses by 18.66%,20.98%,and 17.22%at depths of 30.06,60.23,and 89.81 m,respectively.The results reveal a 122.94%increase in jacket mass—from 1431.28 to 3190.90 t—as water depth increases from 30.06 to 89.81 m.The jacket foundation demonstrates superior cost effectiveness in shallow to moderate water depths,as the unit weight per megawatt(MW)of floating foundations is 97.51%and 35.74%higher at water depths of 60.23 and 89.81 m,respectively.Accordingly,the applicable water-depth threshold between the jacket and floating foundations is estimated to be approximately 100 m.The proposed optimization model offers a novel methodology and practical insights for the optimal design of offshore wind turbine support structures in varying marine environments.展开更多
Conventionally,foundations have been classified as shallow or deep in routine civil engineering practice.However,due to recent developments,two other approaches,semi-deep and ground modification foundations,are now av...Conventionally,foundations have been classified as shallow or deep in routine civil engineering practice.However,due to recent developments,two other approaches,semi-deep and ground modification foundations,are now available,complicating foundation categorization.Accordingly,a new concept for foundation categorization is introduced in this paper based on insights into the theory of structure analysis.Based on the form aspect,foundation systems can be categorized as one-dimensional(linear),two-dimensional(planar),and threedimensional(volumetric).Based on the load transfer aspect,foundations can also be categorized as vector-acting(piles),section or surface-acting(rafts and shells),and block-acting(piled rafts).As a step toward implementing this new categorization scheme,a database of 22 cases has been compiled,symbolizing novel introduced foundation systems.This compilation involves structures such as offshore jackets,high-rise buildings,towers and storages,and diverse geomaterials.Among them,a few have been selected for detailed evaluation,emphasizing influential factors in foundation selection,comprising superstructure,subsoil condition,foundation system,circumferential conditions,and supplementary considerations,that is,constructional and sustainability-based issues.Lessons learned from experience and these knowledge-based cases have described for foundation selection and implementation.Geotechnical and practical aspects with critical components have been realized as major performance assessment and comparison factors.Foundation systems have been compared and ranked using the improved analytic hierarchy process approach.Finally,four categories of buildings,from low-rise to towers and four prevailing levels of soil strength,from soft to very hard,have been considered to propose a perspective for building substructure implementation,adapted via relevant cases.Overall,the introduced categorization is recognized as an efficient algorithm for the experimentation of appropriate foundations for specific structures and subsoil conditions.展开更多
Motivated by a real-world engineering project,this study explores the temporal development of scour depth and the morphology of scour pits around suction bucket foundations in silty clay subjected to unidirectional cu...Motivated by a real-world engineering project,this study explores the temporal development of scour depth and the morphology of scour pits around suction bucket foundations in silty clay subjected to unidirectional currents,through controlled laboratory flume experiments.The findings indicate that:(1)the maximum scour depth of the triple suction bucket foundation demonstrates substantial variation around the threshold flow velocity for silty clay Uc=0:4 m/s.Within a specific range,scour depth exhibits inverse relationship with bucket spacing and aspect ratio,while showing direct proportionality to flow velocity and exposed soil height.A robust functional relationship exists between scour depth and time under various conditions.The scour pit depth varies between the front and rear buckets,as well as between the inner and outer sides of the rear bucket.The disparity in scour depth between the rear and front buckets increases with rising flow velocity.(3)Analysis of field survey data from the engineering site reveals that the experimental results deviate smaller than 12%from the observed average scour pit depth,demonstrating strong correlation with actual conditions.Additionally,a proportional relationship between scour pit depth and width is derived from the field data,offering guidance for scour assessment and protection of triple suction bucket foundations in deep-sea silty clay environments.展开更多
Microbial induced calcium carbonate precipitation(MICP)is an eco-friendly technique that can effectively improve strength,stiffness,and liquefaction resistance.A microbial coral sand pile composite foundation is a nov...Microbial induced calcium carbonate precipitation(MICP)is an eco-friendly technique that can effectively improve strength,stiffness,and liquefaction resistance.A microbial coral sand pile composite foundation is a novel composite foundation technology that utilizes MICP technology to form local reinforcements in coral sand soil,resulting in the formation of microbial coral sand piles.Through a comparison of shaking table tests,the influence of microbial coral sand pile and acceleration amplitude on the dynamic characteristics of a coral sand foundation was discussed from four aspects:macroscopic liquefaction phenomenon,development of acceleration response,development of pore pressure and surface settlement.The test results showed that the peak acceleration amplification factor,excess pore water pressure ratio,and dynamic settlement of the composite foundation site were significantly reduced compared to those of the coral sand foundation.When the amplitude of the input sine wave was 0.2 g,the composite foundation did not liquefy but the coral sand foundation did.The acceleration amplitude of the composite foundation was greater than that of the coral sand foundation at the same depth.The dynamic liquefaction characteristics and strengthening effects of the microbial coral sand pile composite foundation and the MICP-treated coral sand foundation were analyzed and compared.展开更多
Despite the unique properties of diatomite,relatively few studies have focused on its geotechnical engineering characteristics,especially those investigating the engineering performance of tunnel foundation pile treat...Despite the unique properties of diatomite,relatively few studies have focused on its geotechnical engineering characteristics,especially those investigating the engineering performance of tunnel foundation pile treatment technologies that account for the creep behavior of diatomite.This study is grounded on the Feifengshan Tunnel Project,a key component of the Hangzhou-Shaoxing-Taizhou High-Speed Railway.To address the geotechnical challenges of this project,the creep deformation behavior of diatomite under different saturation levels was investigated by combining laboratory creep tests and numerical simulations.Subsequently,a comparative analysis was conducted on the long-term deformation of tunnel foundations(LTDTF)in diatomite strata,with consideration of different reinforcement schemes.The findings reveal that under the same creep stress levels,the creep deformation of diatomite first decreases and then increases as saturation rises.Creep parameters obtained through the inversion of field monitoring and laboratory test data are more consistent with practical engineering conditions.The miniature steel pipe pile(MSPP)reinforcement technique improves the load-bearing capacity of tunnel foundations in diatomite strata.For tunnel foundations treated with MSPP,the LTDTF decreases by 70.6%in the 100th year after the completion of the secondary support construction.Furthermore,increasing the length(0-8 m)or diameter(0-150 mm)of MSPP can effectively control the magnitude and range of surrounding rock deformation at three key locations:the tunnel foundation(Point A),the horizontal observation line(Line B-C),and the vertical observation line(Line A-D).The findings provide crucial insights and a practical methodology for predicting and controlling long-term deformation in tunnel projects in diatomite strata.展开更多
Deploying foundation models across distributed airborne networks offers a promising solution for delivering flexible,high-coverage,and on-demand generative AI services.However,the deployment and tuning of foundation m...Deploying foundation models across distributed airborne networks offers a promising solution for delivering flexible,high-coverage,and on-demand generative AI services.However,the deployment and tuning of foundation models present critical challenges on airborne platforms such as Unmanned Aerial Vehicles(UAVs),due to the intensive computational requirements,substantial memory footprint,and high communication overhead,particularly given these platforms'limited power and memory capacity as well as the limited communication connections.In view of these,a collaborative fine-tuning and inference framework for deploying foundation models over UAV networks is proposed,which employs a split model deployment strategy to distribute computational loads across multiple UAVs.The framework also incorporates a multi-stage fine-tuning approach utilizing a large vision model-based knowledge distillation and personalized local tuning to further enhance performance while maintaining system stability despite UAV mobility.The proposed framework could achieve foundation model fine-tuning in a memory-and computationefficient manner.To further improve the communication and computation efficiency,two variants of the framework are proposed via leveraging over-the-air computations and parameter-efficient fine-tuning techniques in communication and local computation.Extensive experimental evaluation demonstrates the superior and stable performance of the proposed framework compared to baselines in terms of generalization,communication efficiency,memory efficiency,and scalability.展开更多
Deformations in high fill foundations comprising soil–stone mixtures must be accurately predicted to ensure construction quality and long-term operational safety.However,existing computational and analytical methods ...Deformations in high fill foundations comprising soil–stone mixtures must be accurately predicted to ensure construction quality and long-term operational safety.However,existing computational and analytical methods inadequately capture their complex mechanical behavior.We conducted a series of triaxial tests on unsaturated soil samples collected from a high fill project site in northwestern China under three stress paths.The incremental nonlinear and elastoplastic constitutive models for unsaturated soils were modified,and a calculation method was developed for the vertical and lateral deformations of high fill foundations using the layered summation approach.The results indicate that for soil samples with the same mixing ratio(m)and compaction coefficient(n),the strength of the sample and its tendency to exhibit shear dilation increase with the net confining pressure or matric suction.Additionally,the stress–strain curve of the soil sample gradually changes from the strain-hardening type to the ideal elastoplastic type as the compaction coefficient increases.Moreover,the compaction coefficient is an important factor influencing the magnitude of yield stress and yield suction in soil samples,and the yield points of both are similar in shape to the loadingcollapse(LC)and suction increase(SI)yield lines obtained using the Barcelona model in the net mean stress-generalized shear stress(p-s)plane,respectively.The modified incremental nonlinear instantaneous model simultaneously considers the effects of the compaction coefficient,suction and mixing ratio,and the model parameter can be simplified to the tangential modulus expression in the Duncan-Chang model when the suction is zero.Furthermore,the modified elastoplastic constitutive model,which considers the effects of the net mean stress,suction and partial stress,can be simplified to the elastoplastic constitutive relationship of saturated soil when the suction is zero.The proposed deformation calculation method,based on the layered summation theory,is applicable to both elastic and elastoplastic foundation states,as confirmed through numerical simulations.Our work can be used as a reference for the calculation of foundation deformation in similar mixed material high fill projects.展开更多
Installing internal bulkheads in a composite bucket foundation alters the rotational symmetry characteristic of a single-compartment bucket foundation,consequently influencing the stress distribution within the bucket...Installing internal bulkheads in a composite bucket foundation alters the rotational symmetry characteristic of a single-compartment bucket foundation,consequently influencing the stress distribution within the bucket and surrounding soil.During the seabed penetration of a spudcan from a jack-up wind turbine installation vessel,an angle may form between the spudcan’s axis and the axis of symmetry of the adjacent composite bucket foundation in the horizontal plane.Such a misalignment may affect load distribution and the non-uniform interaction between the foundation,soil,and spudcan,ultimately influencing the foundation’s stability.This study employs physical model tests to ascertain the trends in end resistance during spudcan penetration in sand,the extent of soil disturbance,and the backflow condition.The finite element coupled Eulerian-Lagrangian method is validated and utilized to determine the range of penetration angles that induce alterations in the maximum vertical displacement and tilt rate of the composite bucket foundation in sand.The differential contact stress distribution at the base of the bucket is analyzed,with qualitative criteria for sand backflow provided.Findings demonstrate that the maximum vertical displacement and tilt rate of the composite bucket foundation display a“wave-like”variation with the increasing spudcan penetration angle,peaking when the angle between the spudcan and bulkhead is the smallest.Stress distribution is predominantly concentrated at the base and apex of the bucket,becoming increasingly uneven as the penetration angle deviates from the foundation’s symmetry axis.The maximum stress gradually shifts to the junction of the bulkhead and bucket bottom on the side with the shortest net distance from the spudcan.Considering the in-place stability and stress state of the composite bucket foundation is therefore imperative,and particular attention should be paid to the foundation’s state when the angle between the spudcan and bulkhead is small.展开更多
Interpretation of subsurface storage characterization heavily depends on the quality and continuity of well log data.However,missing measurements and anomalous responses are common due to geological heterogeneity,tool...Interpretation of subsurface storage characterization heavily depends on the quality and continuity of well log data.However,missing measurements and anomalous responses are common due to geological heterogeneity,tool limitations,and borehole conditions.Conventional machine learning and deep learning methods,such as Long Short-Term Memory(LSTM)and Convolutional Neural Networks(CNNs),have improved data recovery but remain constrained by the need for extensive retraining,labeled data,and basin-specific tuning.In this study,we present a novel application of a pre-trained time-series foundation model,TimeGPT,for well log imputation and anomaly detection that enables zero-shot inference across different basins and lithologies.This work represents one of the first applications of a generative pre-trained transformer GPT-based model to geoscientific time-series data,bridging recent advances in AI foundation modeling with subsurface analytics.We applied and finetuned TimeGPT using multi-log datasets(Gamma ray,Deep resistivity,Bulk density,Neutron porosity,and Sonic transit time)from the Groningen gas field in the Netherlands,and validated its performance against conventional machine learning and deep learning benchmarks.The proposed approach achieved a mean absolute error(MAE)between 0.02%and 0.32%,demonstrating a>10%improvement over conventional models and comparable accuracy to advanced architectures such as bidirectional LSTM and Transformers.Moreover,the model attained 93%anomaly detection accuracy using conformal prediction intervals,effectively distinguishing among geological heterogeneity,tool noise,and boreholerelated anomalies.The time-series foundation models can generalize well across different geological settings without retraining,enabling basin-agnostic and data-efficient well log analysis.The integration of self-attention mechanisms and conformal uncertainty quantification provides robust,interpretable predictions for real-world reservoir characterization.This work highlights the transformative potential of generative AI in geosciences,advancing well log interpretation toward scalable,low-risk,and foundation-model-driven analytics for the next generation of subsurface intelligence.展开更多
A new viscoelastic foundation model is presented in this paper to analyze vibrations on porous metal foam plates(MTFPs).By incorporating a new damping coefficient(DC)into the traditional Winkler-Pasternak foundation m...A new viscoelastic foundation model is presented in this paper to analyze vibrations on porous metal foam plates(MTFPs).By incorporating a new damping coefficient(DC)into the traditional Winkler-Pasternak foundation model,the proposed model is improved in its capacity to accurately simulate foundation behavior in practical engineering.Metal foam materials are becoming more and more popular in structural applications where vibration properties are crucial because of their high strength-to-weight ratio,lightweight,and superior energy absorption capacity.However,the porous nature of the MTFPs adds complexity to their vibration behavior,which requires advanced modelling techniques for an accurate prediction.Hamilton’s concept is utilized to obtain equations of motion for porous MTFPs.These equations are then analytically solved to provide light on how the vibration characteristics are affected by the viscoelastic foundation parameters.The model’s validity is demonstrated by comparison with existing results to validate the precision of the recommended analytical solution.The findings highlight the significant influence of the viscoelastic foundation parameters,particularly the new DC,on the vibration response of porous MTFPs.These findings provide important direction for the design and development of these cutting-edge materials for a variety of engineering applications.展开更多
Electroencephalography(EEG)foundation models are increasingly used as general-purpose backbones for brain-computer interfaces(BCIs)by leveraging large-scale pretraining and task-specific adaptation.This review summari...Electroencephalography(EEG)foundation models are increasingly used as general-purpose backbones for brain-computer interfaces(BCIs)by leveraging large-scale pretraining and task-specific adaptation.This review summarizes recent progress in EEG foundation models from three perspectives:datasets and task coverage,with emphasis on how generalization goals are operationalized by split protocols and concrete evaluation procedures;model design choices,including input construction and tokenization,masked pretraining objectives,and Transformer backbones for spatiotemporal modeling across heterogeneous channel layouts;and downstream adaptation,comparing linear probing,full fine-tuning,and parameter-efficient tuning,while clarifying the conditions under which each setting is most informative.We emphasize that reported gains are often protocol-dependent,as differences in task scope,preprocessing,training budget,and baseline selection can substantially affect comparability and the extent to which conclusions generalize.Finally,we outline future directions for EEG foundation models in BCI,focusing on standardized evaluation infrastructure,EEG-tailored modeling choices,and deployment-aware adaptation under real-world constraints.展开更多
Lightweight sandwich annular plates with honeycomb cores(HCCs) and carbon-nanotube-reinforced face sheets have been widely used in aerospace and energy structures where the high stiffness-to-weight ratio and the buckl...Lightweight sandwich annular plates with honeycomb cores(HCCs) and carbon-nanotube-reinforced face sheets have been widely used in aerospace and energy structures where the high stiffness-to-weight ratio and the buckling reliability are required. In this paper, an integrated thermo-mechanical buckling model is presented for such plates resting on a radially graded modified Winkler-Pasternak(MWP) elastic foundation. The interlaminar shear deformation and the layerwise displacement continuity are accurately represented with the refined zigzag theory(RZT), while the carbon nanotube(CNT) agglomeration effects are considered with the Mori-Tanaka homogenization scheme. The governing equations are solved with the generalized differential quadrature method(GDQM). The results indicate that the CNT dispersion quality is more decisive than the CNT volume fraction, and the severe agglomeration reduces the critical buckling load by approximate 50%. A proper honeycomb design, particularly with a cell angle of approximate 30°, a wall thickness ratio within the range of 0.1 to 0.15, and a compact cell configuration, markedly enhances the structural stability. The radially graded foundation stiffness interaction increases the buckling capacity by 6%–15%, whereas temperatures of 300 K–400 K slightly reduce the capacity.展开更多
Monocolumn composite bucket foundation is a new type of offshore wind energy foundation.Its bearing characteristics under shallow bedrock conditions and complex geological conditions have not been extensively studied....Monocolumn composite bucket foundation is a new type of offshore wind energy foundation.Its bearing characteristics under shallow bedrock conditions and complex geological conditions have not been extensively studied.Therefore,to analyze its bearing characteristics under complex conditions-such as silty soil,chalky soil,and shallow bedrock-this paper employs finite element software to establish various soil combination scenarios.The load-displacement curves of the foundations under these scenarios are calculated to subsequently evaluate the horizontal ultimate bearing capacity.This study investigates the effects of shallow bedrock depth,the type of soil above the bedrock,the thickness of layered soil,and the quality of layered soil on the bearing characteristics of the monocolumn composite bucket foundation.Based on the principle of single-variable control,the ultimate bearing capacity characteristics of the foundation under different conditions are compared.The distribution of soil pressure inside and outside the bucket wall on the compressed side of the foundation,along with the plastic strain of the soil at the base of the foundation,is also analyzed.In conclusion,shallow bedrock somewhat reduces foundation bearing capacity.Under shallow bedrock conditions,the degree of influence on foundation bearing capacity characteristics can considerably vary on different upper soils.The thickness of each soil layer and the depth to bedrock in stratified soils also affect the bearing capacity of the foundation.The findings of this paper provide a theoretical reference for related foundation design and construction.In practice,the bearing performance of the foundation can be enhanced by improvingthe soil quality in the bucket,adjusting the penetration depth,adjusting the percentage of different types of soil layers in the bucket,and applying other technical construction methods.展开更多
This study presents a comprehensive investigation into the deformation mechanisms of existing metro stations subjected to the simultaneous construction of adjacent foundation pits and underground tunnels.A refined thr...This study presents a comprehensive investigation into the deformation mechanisms of existing metro stations subjected to the simultaneous construction of adjacent foundation pits and underground tunnels.A refined three-dimensional numerical modeling framework is developed to simulate the entire construction process,capturing the complex interactions between excavation activities and station structures.The modeling encompasses deep excavation,side-crossing,and overcrossing passage construction,and the staged installation of support systems.Six construction schemes,varying in excavation sequence,interlayer thickness(clear distance),and passageway layout,are systematically analyzed.Field monitoring data are incorporated to validate the numerical models,enhancing the reliability of the results.The analysis identifies the construction sequence as the primary factor influencing station deformation.Specifically,the strategy of constructing passageways first,followed by excavation of the interchange hall,effectively reduces both vertical and horizontal displacements by leveraging the early-stage portal-frame reinforcement effect.Increasing the clear distance between new structures and the existing station helps mitigate construction-induced deformation,although the benefits plateau beyond a certain threshold.Sensitivity analysis shows that overcrossing passages are most sensitive to variations in clear distance,followed by foundation pits and side-crossing tunnels.Additionally,the spatial positioning of passageways significantly impacts deformation magnitude and propagation.Passageways near expansion joints cause the greatest uplift,while those placed at mid-span experience minimal disturbance due to enhanced structural stiffness.This research provides a quantitative understanding of metro station deformation under concurrent construction activities and offers practical insights for optimizing excavation sequences,structural layouts,and interlayer spacing.The findings contribute to ensuring structural safety and minimizing risks in densely built urban metro environments.展开更多
1.Introduction Hydrological connectivity,a key indicator characterizing the capacity of water,sediments,organisms,and nutrients to move within ecosystems,has become a central paradigm and fundamental theoretical found...1.Introduction Hydrological connectivity,a key indicator characterizing the capacity of water,sediments,organisms,and nutrients to move within ecosystems,has become a central paradigm and fundamental theoretical foundation in contemporary eco-hydrology(Grill et al.,2019).Eco-hydrology aims to elucidate the dynamic coupling mechanisms between hydrological processes and ecological patterns and functions,with hydrological connectivity serving as a critical link in understanding this complex feedback relationship.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.52178329),the China Scholarship Council(Grant No.202306130155)the Postgraduate Scientific Research Innovation Project of Hunan Province,China(Grant No.CX20230442).
摘要With the continuous development of the offshore wind industry,the design concept of composite foundation has been given attention in the past decade.This paper presents an accurate method for investigating the horizontal vibration of monopile-friction wheel composite foundations in layered saturated soil.Firstly,the three-dimensional continuum mechanics theory with the range of linear elasticity is introduced to calculate the frictional resistance distributed on the upper soil surface.Then,the resistances of multilayered soils and inviscid seawater to the pile shaft under horizontal harmonic excitation are obtained using Novak's plane strain model,Biot's porous media theory and radiationwave theory.Thirdly,the expressions for the deformation,bending moment and internal force of the Euler-Bernoulli pile are derived using the boundary conditions with definitephysical meaning and transfer matrix method.By comparing with the results of 1g laboratory test and the idealized formula reported by the literature,the rationality and accuracy of the developed dynamical model can be verified.Finally,this paper conducts a series of worked examples to investigate the influencesof the elastic modulus and thickness of three-layer saturated soil and the location of interlayer soil on the horizontal dynamic vibration of composite foundation.The results show that an increase in elastic modulus of the surface soil is an effective way to improve the dynamic stability of the composite foundation in service conditions.The conclusions drawn from the numerical examples can develop some guidelines for the current foundation design of offshore wind turbines.
基金supported in part by the Hong Kong Research Grant Council(16209023)。
摘要This study explored the transformative potential of artificial intelligence(AI)in addressing the challenges posed by terahertz ultra-massive multiple-input multiple-output(UM-MIMO)systems.It begins by outlining the characteristics of terahertz UM-MIMO systems and identifies three primary challenges for transceiver design:computational complexity,modeling difficulty,and measurement limitations.The study posits that AI provides a promising solution to these challenges.Three systematic research roadmaps are proposed for developing AI algorithms tailored to terahertz UM-MIMO systems.The first roadmap,model-driven deep learning(DL),emphasizes the importance of leveraging available domain knowledge and advocates the adoption of AI only to enhance bottleneck modules within an established signal processing or optimization framework.Four essential steps are discussed:algorithmic frameworks,basis algorithms,loss function design,and neural architecture design.The second roadmap presents channel state information(CSI)foundation models,aimed at unifying the design of different transceiver modules by focusing on their shared foundation,that is,the wireless channel.The training of a single compact foundation model is proposed to estimate the score function of wireless channels,which serve as a versatile prior for designing a wide variety of transceiver modules.Four essential steps are outlined:general frameworks,conditioning,site-specific adaptation,and the joint design of CSI foundation models and model-driven DL.The third roadmap aims to explore potential directions for applying pretrained large language models(LLMs)to terahertz UM-MIMO systems.Several application scenarios are envisioned,including LLM-based estimation,optimization,search,network management,and protocol understanding.Finally,the study highlights open problems and future research directions.
摘要Non-uniform foundation settlement represents a prevalent engineering challenge that compromises the structural integrity and functional usability of buildings. This study conducts a comprehensive analysis of its causes, associated hazards, and mitigation strategies. The primary contributing factors include uneven soil distribution in foundations, significant pressure variations at different levels, groundwater infiltration, and disturbances from external construction activities. Such settlement can lead to severe structural damage—including wall cracks, compromised beam-column joints, building tilting, and impaired functionality—with varying degrees of sensitivity observed across different building types. Effective prevention requires proactive measures during design and construction phases, including enhanced foundation investigation, selection of appropriate structural configurations, application of suitable foundation treatment techniques, and rigorous quality control throughout construction. For existing cases of non-uniform settlement, specialized solutions such as foundation replacement or grouting reinforcement should be employed, complemented by structural reinforcement of upper components to ensure long-term stability and usability. The findings provide comprehensive theoretical support and practical recommendations for architectural design, construction practices, and post-construction maintenance.
基金supported by National Key R&D Program of China(No.2024YFB2906701).
摘要The increasing complexity of future networks demands intelligent,scalable,and adaptive management solutions.Digital twin network(DTN)provides a high-fidelity replica of the physical network for monitoring and optimization,but faces significant limitations,including complex modeling,high synchronization overhead,and limited scalability.Foundation models(large pre-trained AI models)offer powerful semantic understanding and reasoning abilities,yet suffer from high training costs,risks of generating hallucinations,and limited interpretability.To address these challenges,this paper proposes an integrated architecture that combines DTN with foundation models,leveraging their complementary strengths.DTN ensures fidelity and domain-specific modeling,and acts as a validation platform to help facilitate the training and verification of network foundation models.Foundation models enable data-driven automation,downstream model generation,and adaptive decision-making.Furthermore,we present use cases related to twin network configuration verification and protocol generation,demonstrating enhanced scalability,efficiency,and intelligence for intelligent networks by bridging foundation models and digital twin.
基金financially supported by the National Natural Science Foundation of China(Grant No.52571307)the Natural Science Foundation of Tianjin(Grant No.23JCZDJC01150).
摘要The utilization of marine resources has become a strategic priority of global significance.Offshore platforms and offshore wind turbines are critical components of offshore energy development systems.To address the complexity,randomness,and uncertainty inherent in the marine environment and to ensure the safety of offshore installations during service,structural analysis and optimization of their foundations are essential.Jacket foundations,which provide high rigidity and stability,are suitable for shallow water and have emerged as the preferred foundation type for deepwater offshore installations.This study systematically reviews recent advances in theoretical modeling,numerical simulation,and experimental validation of structural response analyses and optimization methodologies for jacket foundations under complex marine conditions.Driven by diverse engineering requirements,researchers have proposed various structural optimization strategies.Existing efforts have primarily focused on structural topology,lightweight design,and performance-based optimization.Furthermore,this review identifies key technical challenges and outlines future research directions for optimizing offshore jacket foundations in ocean engineering.
基金supported by the Key R&D Program of Zhejiang Province of China(No.2025C01172).
摘要Structural optimization plays a crucial role in reducing the cost of offshore wind power,particularly in deep-water regions where the weight of jacket foundations increases substantially.However,there is ongoing debate regarding the water-depth range that is suitable for jacket foundations,and the threshold where floating foundations become more viable.Existing studies have not quantitatively analyzed how water depth affects jacket foundation mass,and have often struggled to handle the high dimensionality and stringent constraints inherent in jacket foundation optimization problems.In this study,we propose an optimization framework that couples parametric finite element analysis with a genetic algorithm to minimize the mass of jacket foundations based on three actual engineering projects at varying water depths.A novel population initialization strategy incorporating engineering experience-based solutions is introduced to improve convergence efficiency and solution quality.Comparative analysis against preliminary designs and existing offshore wind projects demonstrates the model’s ability to achieve cost-effective solutions,specifically reducing required jacket masses by 18.66%,20.98%,and 17.22%at depths of 30.06,60.23,and 89.81 m,respectively.The results reveal a 122.94%increase in jacket mass—from 1431.28 to 3190.90 t—as water depth increases from 30.06 to 89.81 m.The jacket foundation demonstrates superior cost effectiveness in shallow to moderate water depths,as the unit weight per megawatt(MW)of floating foundations is 97.51%and 35.74%higher at water depths of 60.23 and 89.81 m,respectively.Accordingly,the applicable water-depth threshold between the jacket and floating foundations is estimated to be approximately 100 m.The proposed optimization model offers a novel methodology and practical insights for the optimal design of offshore wind turbine support structures in varying marine environments.
摘要Conventionally,foundations have been classified as shallow or deep in routine civil engineering practice.However,due to recent developments,two other approaches,semi-deep and ground modification foundations,are now available,complicating foundation categorization.Accordingly,a new concept for foundation categorization is introduced in this paper based on insights into the theory of structure analysis.Based on the form aspect,foundation systems can be categorized as one-dimensional(linear),two-dimensional(planar),and threedimensional(volumetric).Based on the load transfer aspect,foundations can also be categorized as vector-acting(piles),section or surface-acting(rafts and shells),and block-acting(piled rafts).As a step toward implementing this new categorization scheme,a database of 22 cases has been compiled,symbolizing novel introduced foundation systems.This compilation involves structures such as offshore jackets,high-rise buildings,towers and storages,and diverse geomaterials.Among them,a few have been selected for detailed evaluation,emphasizing influential factors in foundation selection,comprising superstructure,subsoil condition,foundation system,circumferential conditions,and supplementary considerations,that is,constructional and sustainability-based issues.Lessons learned from experience and these knowledge-based cases have described for foundation selection and implementation.Geotechnical and practical aspects with critical components have been realized as major performance assessment and comparison factors.Foundation systems have been compared and ranked using the improved analytic hierarchy process approach.Finally,four categories of buildings,from low-rise to towers and four prevailing levels of soil strength,from soft to very hard,have been considered to propose a perspective for building substructure implementation,adapted via relevant cases.Overall,the introduced categorization is recognized as an efficient algorithm for the experimentation of appropriate foundations for specific structures and subsoil conditions.
基金financially supported by the National Natural Science Foundation of China(Grant No.51879044).
摘要Motivated by a real-world engineering project,this study explores the temporal development of scour depth and the morphology of scour pits around suction bucket foundations in silty clay subjected to unidirectional currents,through controlled laboratory flume experiments.The findings indicate that:(1)the maximum scour depth of the triple suction bucket foundation demonstrates substantial variation around the threshold flow velocity for silty clay Uc=0:4 m/s.Within a specific range,scour depth exhibits inverse relationship with bucket spacing and aspect ratio,while showing direct proportionality to flow velocity and exposed soil height.A robust functional relationship exists between scour depth and time under various conditions.The scour pit depth varies between the front and rear buckets,as well as between the inner and outer sides of the rear bucket.The disparity in scour depth between the rear and front buckets increases with rising flow velocity.(3)Analysis of field survey data from the engineering site reveals that the experimental results deviate smaller than 12%from the observed average scour pit depth,demonstrating strong correlation with actual conditions.Additionally,a proportional relationship between scour pit depth and width is derived from the field data,offering guidance for scour assessment and protection of triple suction bucket foundations in deep-sea silty clay environments.
基金Fundamental Research Funds for the Central Universities under Grant No.2025CDJZKCGJ-09National Natural Science Foundation of China under Grant No.51978103Chongqing Talent Innovation and Entrepreneurship Demonstration Team Projects under Grant No.cstc2024ycjh-bgzxm0012。
摘要Microbial induced calcium carbonate precipitation(MICP)is an eco-friendly technique that can effectively improve strength,stiffness,and liquefaction resistance.A microbial coral sand pile composite foundation is a novel composite foundation technology that utilizes MICP technology to form local reinforcements in coral sand soil,resulting in the formation of microbial coral sand piles.Through a comparison of shaking table tests,the influence of microbial coral sand pile and acceleration amplitude on the dynamic characteristics of a coral sand foundation was discussed from four aspects:macroscopic liquefaction phenomenon,development of acceleration response,development of pore pressure and surface settlement.The test results showed that the peak acceleration amplification factor,excess pore water pressure ratio,and dynamic settlement of the composite foundation site were significantly reduced compared to those of the coral sand foundation.When the amplitude of the input sine wave was 0.2 g,the composite foundation did not liquefy but the coral sand foundation did.The acceleration amplitude of the composite foundation was greater than that of the coral sand foundation at the same depth.The dynamic liquefaction characteristics and strengthening effects of the microbial coral sand pile composite foundation and the MICP-treated coral sand foundation were analyzed and compared.
基金supported by the National Natural Science Foundation of China(No.52178395).
摘要Despite the unique properties of diatomite,relatively few studies have focused on its geotechnical engineering characteristics,especially those investigating the engineering performance of tunnel foundation pile treatment technologies that account for the creep behavior of diatomite.This study is grounded on the Feifengshan Tunnel Project,a key component of the Hangzhou-Shaoxing-Taizhou High-Speed Railway.To address the geotechnical challenges of this project,the creep deformation behavior of diatomite under different saturation levels was investigated by combining laboratory creep tests and numerical simulations.Subsequently,a comparative analysis was conducted on the long-term deformation of tunnel foundations(LTDTF)in diatomite strata,with consideration of different reinforcement schemes.The findings reveal that under the same creep stress levels,the creep deformation of diatomite first decreases and then increases as saturation rises.Creep parameters obtained through the inversion of field monitoring and laboratory test data are more consistent with practical engineering conditions.The miniature steel pipe pile(MSPP)reinforcement technique improves the load-bearing capacity of tunnel foundations in diatomite strata.For tunnel foundations treated with MSPP,the LTDTF decreases by 70.6%in the 100th year after the completion of the secondary support construction.Furthermore,increasing the length(0-8 m)or diameter(0-150 mm)of MSPP can effectively control the magnitude and range of surrounding rock deformation at three key locations:the tunnel foundation(Point A),the horizontal observation line(Line B-C),and the vertical observation line(Line A-D).The findings provide crucial insights and a practical methodology for predicting and controlling long-term deformation in tunnel projects in diatomite strata.
基金supported in part by UK Research and Innovation(UKRI)under the UK government’s Horizon Europe funding guarantee MSCA postdoctoral fellowships(No.EP/Z53433X/1)in part by the National Natural Science Foundation of China(No.62301328)。
摘要Deploying foundation models across distributed airborne networks offers a promising solution for delivering flexible,high-coverage,and on-demand generative AI services.However,the deployment and tuning of foundation models present critical challenges on airborne platforms such as Unmanned Aerial Vehicles(UAVs),due to the intensive computational requirements,substantial memory footprint,and high communication overhead,particularly given these platforms'limited power and memory capacity as well as the limited communication connections.In view of these,a collaborative fine-tuning and inference framework for deploying foundation models over UAV networks is proposed,which employs a split model deployment strategy to distribute computational loads across multiple UAVs.The framework also incorporates a multi-stage fine-tuning approach utilizing a large vision model-based knowledge distillation and personalized local tuning to further enhance performance while maintaining system stability despite UAV mobility.The proposed framework could achieve foundation model fine-tuning in a memory-and computationefficient manner.To further improve the communication and computation efficiency,two variants of the framework are proposed via leveraging over-the-air computations and parameter-efficient fine-tuning techniques in communication and local computation.Extensive experimental evaluation demonstrates the superior and stable performance of the proposed framework compared to baselines in terms of generalization,communication efficiency,memory efficiency,and scalability.
基金funded by the National Natural Science Foundation of China(Grant Nos.52368049,52168051,and 42462028)Lanzhou Young Scientific and Technological Talents Innovation Project(Grant Nos.2023-QN-27 and 2023-QN-52)Major Project of the Joint Scientific Research Fund of Gansu Province(Grant No.25JRRL007)。
摘要Deformations in high fill foundations comprising soil–stone mixtures must be accurately predicted to ensure construction quality and long-term operational safety.However,existing computational and analytical methods inadequately capture their complex mechanical behavior.We conducted a series of triaxial tests on unsaturated soil samples collected from a high fill project site in northwestern China under three stress paths.The incremental nonlinear and elastoplastic constitutive models for unsaturated soils were modified,and a calculation method was developed for the vertical and lateral deformations of high fill foundations using the layered summation approach.The results indicate that for soil samples with the same mixing ratio(m)and compaction coefficient(n),the strength of the sample and its tendency to exhibit shear dilation increase with the net confining pressure or matric suction.Additionally,the stress–strain curve of the soil sample gradually changes from the strain-hardening type to the ideal elastoplastic type as the compaction coefficient increases.Moreover,the compaction coefficient is an important factor influencing the magnitude of yield stress and yield suction in soil samples,and the yield points of both are similar in shape to the loadingcollapse(LC)and suction increase(SI)yield lines obtained using the Barcelona model in the net mean stress-generalized shear stress(p-s)plane,respectively.The modified incremental nonlinear instantaneous model simultaneously considers the effects of the compaction coefficient,suction and mixing ratio,and the model parameter can be simplified to the tangential modulus expression in the Duncan-Chang model when the suction is zero.Furthermore,the modified elastoplastic constitutive model,which considers the effects of the net mean stress,suction and partial stress,can be simplified to the elastoplastic constitutive relationship of saturated soil when the suction is zero.The proposed deformation calculation method,based on the layered summation theory,is applicable to both elastic and elastoplastic foundation states,as confirmed through numerical simulations.Our work can be used as a reference for the calculation of foundation deformation in similar mixed material high fill projects.
摘要Installing internal bulkheads in a composite bucket foundation alters the rotational symmetry characteristic of a single-compartment bucket foundation,consequently influencing the stress distribution within the bucket and surrounding soil.During the seabed penetration of a spudcan from a jack-up wind turbine installation vessel,an angle may form between the spudcan’s axis and the axis of symmetry of the adjacent composite bucket foundation in the horizontal plane.Such a misalignment may affect load distribution and the non-uniform interaction between the foundation,soil,and spudcan,ultimately influencing the foundation’s stability.This study employs physical model tests to ascertain the trends in end resistance during spudcan penetration in sand,the extent of soil disturbance,and the backflow condition.The finite element coupled Eulerian-Lagrangian method is validated and utilized to determine the range of penetration angles that induce alterations in the maximum vertical displacement and tilt rate of the composite bucket foundation in sand.The differential contact stress distribution at the base of the bucket is analyzed,with qualitative criteria for sand backflow provided.Findings demonstrate that the maximum vertical displacement and tilt rate of the composite bucket foundation display a“wave-like”variation with the increasing spudcan penetration angle,peaking when the angle between the spudcan and bulkhead is the smallest.Stress distribution is predominantly concentrated at the base and apex of the bucket,becoming increasingly uneven as the penetration angle deviates from the foundation’s symmetry axis.The maximum stress gradually shifts to the junction of the bulkhead and bucket bottom on the side with the shortest net distance from the spudcan.Considering the in-place stability and stress state of the composite bucket foundation is therefore imperative,and particular attention should be paid to the foundation’s state when the angle between the spudcan and bulkhead is small.
摘要Interpretation of subsurface storage characterization heavily depends on the quality and continuity of well log data.However,missing measurements and anomalous responses are common due to geological heterogeneity,tool limitations,and borehole conditions.Conventional machine learning and deep learning methods,such as Long Short-Term Memory(LSTM)and Convolutional Neural Networks(CNNs),have improved data recovery but remain constrained by the need for extensive retraining,labeled data,and basin-specific tuning.In this study,we present a novel application of a pre-trained time-series foundation model,TimeGPT,for well log imputation and anomaly detection that enables zero-shot inference across different basins and lithologies.This work represents one of the first applications of a generative pre-trained transformer GPT-based model to geoscientific time-series data,bridging recent advances in AI foundation modeling with subsurface analytics.We applied and finetuned TimeGPT using multi-log datasets(Gamma ray,Deep resistivity,Bulk density,Neutron porosity,and Sonic transit time)from the Groningen gas field in the Netherlands,and validated its performance against conventional machine learning and deep learning benchmarks.The proposed approach achieved a mean absolute error(MAE)between 0.02%and 0.32%,demonstrating a>10%improvement over conventional models and comparable accuracy to advanced architectures such as bidirectional LSTM and Transformers.Moreover,the model attained 93%anomaly detection accuracy using conformal prediction intervals,effectively distinguishing among geological heterogeneity,tool noise,and boreholerelated anomalies.The time-series foundation models can generalize well across different geological settings without retraining,enabling basin-agnostic and data-efficient well log analysis.The integration of self-attention mechanisms and conformal uncertainty quantification provides robust,interpretable predictions for real-world reservoir characterization.This work highlights the transformative potential of generative AI in geosciences,advancing well log interpretation toward scalable,low-risk,and foundation-model-driven analytics for the next generation of subsurface intelligence.
基金supported by the funding from the Deanship of Graduate Studies and Scientific Research,Jazan University,Saudi Arabia(Grant No.RG24-M027).
摘要A new viscoelastic foundation model is presented in this paper to analyze vibrations on porous metal foam plates(MTFPs).By incorporating a new damping coefficient(DC)into the traditional Winkler-Pasternak foundation model,the proposed model is improved in its capacity to accurately simulate foundation behavior in practical engineering.Metal foam materials are becoming more and more popular in structural applications where vibration properties are crucial because of their high strength-to-weight ratio,lightweight,and superior energy absorption capacity.However,the porous nature of the MTFPs adds complexity to their vibration behavior,which requires advanced modelling techniques for an accurate prediction.Hamilton’s concept is utilized to obtain equations of motion for porous MTFPs.These equations are then analytically solved to provide light on how the vibration characteristics are affected by the viscoelastic foundation parameters.The model’s validity is demonstrated by comparison with existing results to validate the precision of the recommended analytical solution.The findings highlight the significant influence of the viscoelastic foundation parameters,particularly the new DC,on the vibration response of porous MTFPs.These findings provide important direction for the design and development of these cutting-edge materials for a variety of engineering applications.
基金supported by the National Key Research and Development Program of China(Nos.2024YFF1400600 and 2024YFF1400604)the National Natural Science Foundation of China(No.62376158)+2 种基金the Shanghai Jiao Tong University 2030 Initiative,the Lingang Laboratory(No.LGL-1987)the GuangCi Professorship Program of RuiJin Hospital Shanghai Jiao Tong University School of Medicinethe Shanghai Jiao Tong University SCS–Shanghai Emotionhelper Technology Co.,Ltd.Joint Laboratory of Affective Brain-Computer Interfaces。
摘要Electroencephalography(EEG)foundation models are increasingly used as general-purpose backbones for brain-computer interfaces(BCIs)by leveraging large-scale pretraining and task-specific adaptation.This review summarizes recent progress in EEG foundation models from three perspectives:datasets and task coverage,with emphasis on how generalization goals are operationalized by split protocols and concrete evaluation procedures;model design choices,including input construction and tokenization,masked pretraining objectives,and Transformer backbones for spatiotemporal modeling across heterogeneous channel layouts;and downstream adaptation,comparing linear probing,full fine-tuning,and parameter-efficient tuning,while clarifying the conditions under which each setting is most informative.We emphasize that reported gains are often protocol-dependent,as differences in task scope,preprocessing,training budget,and baseline selection can substantially affect comparability and the extent to which conclusions generalize.Finally,we outline future directions for EEG foundation models in BCI,focusing on standardized evaluation infrastructure,EEG-tailored modeling choices,and deployment-aware adaptation under real-world constraints.
摘要Lightweight sandwich annular plates with honeycomb cores(HCCs) and carbon-nanotube-reinforced face sheets have been widely used in aerospace and energy structures where the high stiffness-to-weight ratio and the buckling reliability are required. In this paper, an integrated thermo-mechanical buckling model is presented for such plates resting on a radially graded modified Winkler-Pasternak(MWP) elastic foundation. The interlaminar shear deformation and the layerwise displacement continuity are accurately represented with the refined zigzag theory(RZT), while the carbon nanotube(CNT) agglomeration effects are considered with the Mori-Tanaka homogenization scheme. The governing equations are solved with the generalized differential quadrature method(GDQM). The results indicate that the CNT dispersion quality is more decisive than the CNT volume fraction, and the severe agglomeration reduces the critical buckling load by approximate 50%. A proper honeycomb design, particularly with a cell angle of approximate 30°, a wall thickness ratio within the range of 0.1 to 0.15, and a compact cell configuration, markedly enhances the structural stability. The radially graded foundation stiffness interaction increases the buckling capacity by 6%–15%, whereas temperatures of 300 K–400 K slightly reduce the capacity.
摘要Monocolumn composite bucket foundation is a new type of offshore wind energy foundation.Its bearing characteristics under shallow bedrock conditions and complex geological conditions have not been extensively studied.Therefore,to analyze its bearing characteristics under complex conditions-such as silty soil,chalky soil,and shallow bedrock-this paper employs finite element software to establish various soil combination scenarios.The load-displacement curves of the foundations under these scenarios are calculated to subsequently evaluate the horizontal ultimate bearing capacity.This study investigates the effects of shallow bedrock depth,the type of soil above the bedrock,the thickness of layered soil,and the quality of layered soil on the bearing characteristics of the monocolumn composite bucket foundation.Based on the principle of single-variable control,the ultimate bearing capacity characteristics of the foundation under different conditions are compared.The distribution of soil pressure inside and outside the bucket wall on the compressed side of the foundation,along with the plastic strain of the soil at the base of the foundation,is also analyzed.In conclusion,shallow bedrock somewhat reduces foundation bearing capacity.Under shallow bedrock conditions,the degree of influence on foundation bearing capacity characteristics can considerably vary on different upper soils.The thickness of each soil layer and the depth to bedrock in stratified soils also affect the bearing capacity of the foundation.The findings of this paper provide a theoretical reference for related foundation design and construction.In practice,the bearing performance of the foundation can be enhanced by improvingthe soil quality in the bucket,adjusting the penetration depth,adjusting the percentage of different types of soil layers in the bucket,and applying other technical construction methods.
基金financial support by the National Natural Science Foundation of China(Project No.U2469207,received by Qian Fang)Science and Technology Innovation Program of Xiongan New Area(Project No.2024XAGG0016,received by Qian Fang).
摘要This study presents a comprehensive investigation into the deformation mechanisms of existing metro stations subjected to the simultaneous construction of adjacent foundation pits and underground tunnels.A refined three-dimensional numerical modeling framework is developed to simulate the entire construction process,capturing the complex interactions between excavation activities and station structures.The modeling encompasses deep excavation,side-crossing,and overcrossing passage construction,and the staged installation of support systems.Six construction schemes,varying in excavation sequence,interlayer thickness(clear distance),and passageway layout,are systematically analyzed.Field monitoring data are incorporated to validate the numerical models,enhancing the reliability of the results.The analysis identifies the construction sequence as the primary factor influencing station deformation.Specifically,the strategy of constructing passageways first,followed by excavation of the interchange hall,effectively reduces both vertical and horizontal displacements by leveraging the early-stage portal-frame reinforcement effect.Increasing the clear distance between new structures and the existing station helps mitigate construction-induced deformation,although the benefits plateau beyond a certain threshold.Sensitivity analysis shows that overcrossing passages are most sensitive to variations in clear distance,followed by foundation pits and side-crossing tunnels.Additionally,the spatial positioning of passageways significantly impacts deformation magnitude and propagation.Passageways near expansion joints cause the greatest uplift,while those placed at mid-span experience minimal disturbance due to enhanced structural stiffness.This research provides a quantitative understanding of metro station deformation under concurrent construction activities and offers practical insights for optimizing excavation sequences,structural layouts,and interlayer spacing.The findings contribute to ensuring structural safety and minimizing risks in densely built urban metro environments.
基金supported by the National Key Research and Development Program(Grant No.2023YFF0807204)the Basic Research Program of Jiangsu(Grant No.BK20242106)+1 种基金the Key Science and Technology Project of Jiangxi Province(Grants No.20252ABF010001,20244BCF61001,and 20252BAC230006)the Jiangxi Ganpo Talent Program(Grant No.gpyc20250057).
摘要1.Introduction Hydrological connectivity,a key indicator characterizing the capacity of water,sediments,organisms,and nutrients to move within ecosystems,has become a central paradigm and fundamental theoretical foundation in contemporary eco-hydrology(Grill et al.,2019).Eco-hydrology aims to elucidate the dynamic coupling mechanisms between hydrological processes and ecological patterns and functions,with hydrological connectivity serving as a critical link in understanding this complex feedback relationship.