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Causal Representation Learning for Trustworthy Industrial Process Modeling 认领 引用
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作者 Liang Cao Fan Yang Youqing Wang 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第7期1758-1760,共3页
Dear Editor,Industrial processes have become increasingly complex and dynamic,making robust and interpretable modeling techniques indispensable for safe and efficient operation.Although contemporary machine learning a... Dear Editor,Industrial processes have become increasingly complex and dynamic,making robust and interpretable modeling techniques indispensable for safe and efficient operation.Although contemporary machine learning algorithms exhibit strong predictive capabilities[1],[2],it remains challenging to ensure trustworthy performance—i.e.,models that reliably generalize to diverse operating regimes while offering intuitive explanations of their behavior.Achieving high accuracy with robust interpretability and stability(especially under process upsets or nonstationarities)stands as a pressing need in modern industrial environments[3],[4]. 展开更多
关键词 robust interpretability nonstationarities causal representation learning machine learning algorithms generalize diverse operating regimes offering intuitive explanations their trustworthy industrial process modeling robust interpretability stabi robust interpretable modeling techniques
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An interpretable attention-guided generative adversarial network framework with dual-domain learning for multi-condition constrained sedimentary facies modeling 认领 引用 被引量：1
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作者 Lei Liu Wei Li +7 位作者 Jian Gao Da-Li Yue De-Gang Wu Wu-Rong Wang Jin Lin Zhi-Bo Li Qian Zhong Jia-Gen Hou 《Petroleum Science》 SCIE EI CAS CSCD 2026年第4期1754-1772,共19页
Sedimentary facies modeling is a critical approach for understanding geological phenomena,yet the strong heterogeneity of reservoir systems poses a serious challenge for their refined characterization.In this study,we... Sedimentary facies modeling is a critical approach for understanding geological phenomena,yet the strong heterogeneity of reservoir systems poses a serious challenge for their refined characterization.In this study,we innovatively propose an interpretable attention-guided generative adversarial network framework with dual-domain learning,which achieves precise sedimentary facies modeling under the constraints of well facies and soft probability data.Specifically,we first effectively extract and preserve prior information of sedimentary facies models from both spatial and frequency domain perspectives.Then,during simulation,to enhance the capability of the network model for finely characterizing complex heterogeneous models,cross-spatial attention mechanisms are designed to effectively capture short-range and long-range dependencies between multi-scale pattern features.Additionally,through systematic feature map visualization analysis,we elucidate the processes of conditional fitting and complex sedimentary facies model reconstruction,intuitively demonstrating the functional mechanisms of each module.Finally,systematic experiments are conducted on multiple datasets to validate the effectiveness of the proposed method.The results demonstrate that the generated sedimentary facies models exhibit high consistency with training datasets in terms of visual realism and statistical indicators.Quantitative comparisons reveal remarkable performance of the method,achieving low Wasserstein distance(0.09),Kernel Inception Distance(0.0017)and Kernel Maximum Mean Discrepancy(0.21).These findings further confirm the high realism of the generated realizations regarding pattern features.This study offers a reliable and practical method for geological reservoir modeling,thereby advancing quantitative,precise geological research with broad application prospects. 展开更多
关键词 Sedimentary facies models Attention-guided generative adversarial network Interpretable framework Sedimentary patterns Multi-condition modeling
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Dynamic modeling of spatial variable stator vane mechanism using modified Lagrange multiplier method 认领 引用 被引量：1
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作者 Ke HE Kaiyi HUANG +2 位作者 Zhen LI Shuhui HU Zhinan ZHANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第6期251-271,共21页
The Variable Stator Vanes(VSV)system ensures the smooth operation of the highpressure compressor by adjusting the vane angles to prevent surge,and the dynamic behavior of its multistage vanes directly affects its serv... The Variable Stator Vanes(VSV)system ensures the smooth operation of the highpressure compressor by adjusting the vane angles to prevent surge,and the dynamic behavior of its multistage vanes directly affects its service performance.To investigate the dynamic behavior of the spatial VSV multi-vane mechanism,a positional constraint equation for the VSV mechanism was established,and the numerical expressions of the Jacobian matrices for different kinematic pair constraint equations were derived.The Lagrange multiplier method was modified for spatial rotation,and an ideal dynamic model of the spatial VSV multi-vane mechanism was developed.The computational results indicate that the dynamic behavior of different vanes within the same stage is similar,and the constraint moment experienced by vanes at different positions has a linear relationship with their centroid coordinates.This study expands the dynamic modeling methods for spatial mechanisms and provides a foundation for researching the frictional dynamic behavior of VSV mechanisms with clearance. 展开更多
关键词 Dynamic characteristics Dynamic models Lagrange multipliers Spatial dynamic modeling:VSV
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Multi-scale modeling of ultra-thin commercially pure titanium sheet for fuel cell bipolar plates:Plastic anisotropy and distortional strain hardening 认领 引用 被引量：1
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作者 Kyung Mun Min Seonghwan Choi +2 位作者 Xiaohua Hu Jinwoo Lee Hyuk Jong Bong 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2026年第5期1637-1651,共15页
This study presents a multi-scale modeling framework to describe the mechanical behavior of a 0.1 mm-thick commercially pure titanium(CP-Ti)sheet developed for fuel cell bipolar plates.Since standardized methods for c... This study presents a multi-scale modeling framework to describe the mechanical behavior of a 0.1 mm-thick commercially pure titanium(CP-Ti)sheet developed for fuel cell bipolar plates.Since standardized methods for characterizing ultra-thin sheets under complex stress states are lacking,a virtual modeling approach was employed.At the grain scale,a crystal plasticity finite element(CPFE)model was constructed to incorporate the relevant slip and twinning systems,enabling prediction of responses under diverse loading conditions.Extending to the continuum scale,the CPFE results,combined with tensile data,were used to calibrate an advanced constitutive model based on the evolutionary Yld2000-2d yield function,capable of capturing anisotropic behavior.Validation against independent limiting dome height tests confirmed the predictive accuracy of the framework.The proposed approach provides a basis for simulating the forming behavior of ultra-thin CP-Ti sheets and supports precise manufacturing of bipolar plates in fuel cell systems. 展开更多
关键词 commercially pure titanium sheet crystal plasticity plastic anisotropy distortional strain hardening multi-scale modeling
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Mechanical Behavior of Cementitious Composites Reinforced with Nonwoven Fabrics:A Numerical Modeling Study 认领 引用
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作者 Bahareh Ramzikhalesi Ali Rakhsh-Mahpour +1 位作者 Josep Claramunt-Blanes Ernest Bernat-Maso 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第5期446-471,共26页
The mechanical behavior of nonwoven fabrics as reinforcement in cementitious composites remains insufficiently explored,particularly from a numerical modeling perspective,despite their growing interest as sustainable ... The mechanical behavior of nonwoven fabrics as reinforcement in cementitious composites remains insufficiently explored,particularly from a numerical modeling perspective,despite their growing interest as sustainable alternatives to conventional textiles.This study presents a simplified,engineering-oriented numerical modeling framework for reproducing the flexural mechanical response of cementitious composites reinforced with flax nonwoven fabric.Four-point bending(flexural)behavior of nonwoven fabric–reinforced cementitious composites was numerically simulated using ANSYS software.The model is developed using Finite Element Analysis(FEA)and incorporates a Representative Volume Element(RVE)approach to account for the heterogeneous fiber–matrix interaction.The required material properties were iteratively calibrated using existing experimental data for three composite configurations comprising 4,5,and 6 layers.The proposed model demonstrated agreement with experimental results within the investigated configurations,achieving normalized root mean square errors(nRMSE)of 5.2%,4.6%,and 2.07%for the respective configurations.Furthermore,correlations between material parameters and geometric factors were identified,providing preliminary insights for estimating model input properties from easily measurable variables.Finally,sensitivity analyses were performed to evaluate the influence of key geometric and material parameters on the structural response,offering valuable insights for the optimized design of nonwoven fabric-reinforced cementitious composites. 展开更多
关键词 Fabric-reinforced cementitious composites flax nonwoven fabric numerical modeling cementitious composites modeling finite element method representative volume element flexural response sensitivity analysis
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Deterministic modeling and uncertainty quantification of wind waves in Ilha Solteira Reservoir,Brazil 认领 引用
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作者 Germano de Oliveira Mattosinho Fabiana de Oliveira Ferreira Geraldo de Freitas Maciel 《Water Science and Engineering》 EI CAS CSCD 2026年第2期291-301,共11页
Wind waves in reservoirs represent a key hydrodynamic process influencing shoreline stability,navigation safety,and the design of hydraulic infrastructure.Despite their practical relevance,wave prediction in inland wa... Wind waves in reservoirs represent a key hydrodynamic process influencing shoreline stability,navigation safety,and the design of hydraulic infrastructure.Despite their practical relevance,wave prediction in inland waters remains subject to significant uncertainties,particularly related to wind forcing and empirical model parameters.This study integrated deterministic and probabilistic approaches for predicting wind waves in reservoirs.Using a deterministic approach,the Simulating Waves Nearshore(SWAN)model was applied to estimate wave height and period.Key variables analyzed included wind velocity,wind direction,the Joint North Sea Wave Project(JONSWAP)bottom friction coefficient,the whitecapping coefficient,and the depth-induced breaking index.Through a probabilistic approach,uncertainties were quantified using polynomial chaos expansion(PCE),and sensitivity analysis was performed via Sobol indices.This framework was applied to a case study of the Tiete—Parana Waterway in the Ilha Solteira Reservoir,Sao Paulo,Brazil.Simulations using the Janssen formulation yielded the most accurate wave height estimates.Sensitivity analysis based on Sobol indices identified wind velocity and the whitecapping coefficient as the most influential factors governing wave behavior.This integrated approach enables the generation of contour maps for wave height and period,offering valuable insights for project planning.Thus,the combination of deterministic and probabilistic analyses enhances the understanding of wind wave dynamics in inland waters. 展开更多
关键词 Uncertainty quantification Wave modeling Wind waves SWAN model Metamodeling Sobol index
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Modeling of Precipitation over Africa:Progress,Challenges,and Prospects 认领 引用
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作者 A.A.AKINSANOLA C.N.WENHAJI +21 位作者 R.BARIMALALA P.-A.MONERIE R.D.DIXON A.T.TAMOFFO M.O.ADENIYI V.ONGOMA I.DIALLO M.GUDOSHAVA C.M.WAINWRIGHT R.JAMES K.C.SILVERIO A.FAYE S.S.NANGOMBE M.W.POKAM D.A.VONDOU N.C.G.HART I.PINTO M.KILAVI S.HAGOS E.N.RAJAGOPAL R.K.KOLLI S.JOSEPH 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2026年第1期59-86,共28页
In recent years,there has been an increasing need for climate information across diverse sectors of society.This demand has arisen from the necessity to adapt to and mitigate the impacts of climate variability and cha... In recent years,there has been an increasing need for climate information across diverse sectors of society.This demand has arisen from the necessity to adapt to and mitigate the impacts of climate variability and change.Likewise,this period has seen a significant increase in our understanding of the physical processes and mechanisms that drive precipitation and its variability across different regions of Africa.By leveraging a large volume of climate model outputs,numerous studies have investigated the model representation of African precipitation as well as underlying physical processes.These studies have assessed whether the physical processes are well depicted and whether the models are fit for informing mitigation and adaptation strategies.This paper provides a review of the progress in precipitation simulation overAfrica in state-of-the-science climate models and discusses the major issues and challenges that remain. 展开更多
关键词 rainfall monsoon climate modeling CORDEX CMIP6 convection-permitting models
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Effect of prestress on the impact performance of a fully clamped metallic beam:Analytical modeling and numerical simulation 认领 引用
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作者 Jianwei Ren Huiyao Gao +5 位作者 Xue Li Zhenyu Zhao Daqiao Zhang Jian Wu Bangjie Li Tianjian Lu 《Theoretical & Applied Mechanics Letters》 EI CAS CSCD 2026年第2期129-141,共13页
Metallic protective structures(e.g.,beams and plates)are widely used against impact and blast loadings.Their precise dynamic responses are critical for design and service,especially when unintended preloading or prest... Metallic protective structures(e.g.,beams and plates)are widely used against impact and blast loadings.Their precise dynamic responses are critical for design and service,especially when unintended preloading or prestress caused by accidental deformation is present.In this study,the effects of prestress on the structural deformation and springback behaviors of a fully clamped metallic beam subjected to a subsequent impact load are systematically investigated.A combined research approach,consisting of analytical modeling constructed by a simplified stringhinge model(SSHM)that accounts for the roles of structural hinge and string components as well as double-solver coupling numerical simulation incorporating implicit and explicit solvers simultaneously,is employed,which is validated against existing experimental results.The influence of material strain hardening is considered.The presence of prestress can improve the impact resistance of a beam by reducing its peak deflection and increasing the structural springback of the beam,owing mainly to altered beam geometries and,initially,the stress state as the beam is deformed.Using the analytical modeling of the SSHM,the roles of the components of the hinge and string under various loading scenarios are subsequently delineated,particularly in terms of the development process of the mechanical performance of each component within the out-of-plane deformation and springback stages.During the deformation process of the impacted target,the roles of the bending moment and membrane force vary with increasing midspan deflection.These roles also change when the pretension intensity is increased. 展开更多
关键词 Impact performance Prestress Analytical modeling Structural springback Energy absorption analysis
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Interface behavior of steel-slag-air during tundish filling process:physical modeling and mathematical simulation 认领 引用
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作者 Yu-Hang Wang Hai-Yan Tang +3 位作者 Kai-Min Wang Zhen-Dong Wang Xing-Yu Jia Jia-Quan Zhang 《Journal of Iron and Steel Research International》 SCIE EI CSCD 2026年第3期266-282,共17页
In view of the frequent deterioration of molten steel quality during the tundish filling process,the slag-steel-air interface behavior in a tundish,including liquid level fluctuation,slag eyes,slag entrapment and air ... In view of the frequent deterioration of molten steel quality during the tundish filling process,the slag-steel-air interface behavior in a tundish,including liquid level fluctuation,slag eyes,slag entrapment and air suction during the steady-state casting and filling process,was comparatively studied through physical modeling and mathematical simulation methods.During the filling process,the liquid surface forms a large-size slag eye under the impact of molten steel from a ladle shroud,which simultaneously results in a violent fluctuation of liquid level.Concurrently,the liquid flow entrains the air phase and the cover slag into the tundish impact zone,resulting in slag entrapment and air suction.At filling flow rates of 1.5Q,2.0Q,and 2.5Q(Q is the flow rate under steady-state casting),the amount of slag entrapped is 8.39×10-5,9.65×10-5,and 12.7×10-5m3,respectively,while the volume of air aspirated is 0.84×10-4,1.47×10-4,and 2.01×10-4m3,indicating that slag entrapment and air suction intensify with an increase in tundish filling flow rate.Flow field characterization identifies eddy currents in the impact zone as the primary driver of the above phenomena.Proper filling process parameters were proposed to improve the steel quality during the tundish filling. 展开更多
关键词 Mathematical simulation Physical modeling Tundish filling process Interface behavior Steel-slag-air interface
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Modeling prediction of temperature dependent fracture toughness for particle reinforced metal matrix composites 认领 引用
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作者 Pan Dong Guozheng Kang +2 位作者 Xuyao Zhang Weiguo Li Yi He 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第2期350-359,共10页
In this work,incorporating the impact of grain boundary sliding,a theoretical analytical model has been proposed for assessing fracture toughness at different temperatures of particle reinforced metal matrix composite... In this work,incorporating the impact of grain boundary sliding,a theoretical analytical model has been proposed for assessing fracture toughness at different temperatures of particle reinforced metal matrix composites.The model can achieve prediction of fracture toughness in varying temperature conditions by utilizing the yield strength and Young’s modulus of the metal matrix at room temperature,along with readily accessible material parameters.And the predictions have achieved good consistency with the measurements of five composites obtained from other scholars’references.Furthermore,based on the established model,the impact of particle volume fraction and particle size on the fracture toughness of composites,as well as their evolution with temperature were studied within the applicable range of the proposed model.This research not only provides an effective and convenient tool for evaluating the fracture toughness of composites serving in different temperature environments,but also lays the foundation for the strengthening and toughening design of composites. 展开更多
关键词 Particle reinforced metal matrix composites Fracture toughness Temperature dependent Modeling
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A Metaheuristic Football Optimization Algorithm Integrated with Large Language Models for Automated Seismic Time-Series Modeling 认领 引用
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作者 Amal H.Alharbi Marwa M.Eid +2 位作者 Nima Khodadadi Ebrahim A.Mattar Sayed Elkenawy 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第5期947-987,共41页
Seismic time series forecasting remains challenging due to the nonlinearity,non-stationarity,and noise of earthquake data,and because deep learning models are sensitive to preprocessing and hyperparameter settings.Alt... Seismic time series forecasting remains challenging due to the nonlinearity,non-stationarity,and noise of earthquake data,and because deep learning models are sensitive to preprocessing and hyperparameter settings.Although recent studies have improved neural architectures and optimization techniques,preprocessing is often treated as a fixed or manually designed stage,with limited integration into model optimization.To address this,this paper proposes an integrated,data-driven modelling framework that combines guided preprocessing with systematic hyperparameter optimization for seismic prediction,specifically forecasting earthquake magnitude from seismic catalog time-series data,with experiments conducted on Canadian seismic records.The method uses a Large Language Model to guide data preparation and feature engineering,rather than fully automate them,and applies deep learning-based forecasting with the N-HITS architecture,optimized via metaheuristic-assisted feature selection and hyperparameter tuning.The Football Optimization Algorithm(FbOA),employed as a metaheuristic optimization strategy in this study,is evaluated and compared with several well-known optimizers under identical conditions.The results show significant performance gains,with FbOA achieving superior accuracy,robustness,and convergence compared to baseline and competing methods.Notably,error metrics are reduced(MSE 3.10×10-7,RMSE 5.57×103),with high performance indicators(r=0.982,R2=0.979,NSE=0.981,WI=0.985).These results highlight the value of integrating guided preprocessing with optimization and demonstrate a scalable framework for high-precision time-series prediction in geophysical and related domains. 展开更多
关键词 Seismic time-series forecasting large language models metaheuristic algorithms football optimization algorithm earthquake modeling
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Cup wheel grinding in high-precision manufacturing:multiscale modeling,process innovation and sustainable practices 认领 引用
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作者 Pengcheng Zhao Bin Lin +8 位作者 Jingguo Zhou Bingrui Lv Jinming Li Xingwang Xu Hetian Hou Longfei Wang Yuxiao Cui Mamadsho Ilolovd Tianyi Sui 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第2期139-177,共39页
Cup wheel grinding has emerged as a core technique in high-precision manufacturing,offering unique advantages in efficient material removal and the machining of complex surfaces.This review provides a comprehensive ov... Cup wheel grinding has emerged as a core technique in high-precision manufacturing,offering unique advantages in efficient material removal and the machining of complex surfaces.This review provides a comprehensive overview of theoretical advancements,process innovations,and industrial applications of cup wheel grinding over the past decades.The theoretical discussion centers on multiscale modeling of grinding forces and heat generation,the regulation of surface integrity under thermo-mechanical coupling,and predictive approaches for wheel wear and service life.Furthermore,this review highlights the intrinsic links between material removal mechanisms and the control of subsurface damage.Moreover,this paper explores the fabrication and dressing of cup wheels,multi-objective parameter optimization strategies,multi-physics-assisted grinding techniques,and green cooling and lubrication solutions for enhancing efficiency and quality.Representative industrial applications demonstrate the irreplaceable role of cup wheel grinding in aerospace,energy,transportation,semiconductor,and optical manufacturing.This review outlines future research directions,including multiscale microano grinding modeling,sustainable monitoring,control strategies for green manufacturing,and the integration of physical models with data-driven intelligent manufacturing.In addition,this review aims to serve as a comprehensive reference for academic and industrial communities,driving innovation in cup wheel grinding technologies and new quality productivity. 展开更多
关键词 cup wheel grinding advanced materials processing multiscale modeling surface integrity intelligent manufacturing high-performance manufacturing
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Automatic gating and riser system design and defect control for K4169 superalloy guide blade casting based on parametric 3D modeling-simulation integrated system 认领 引用
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作者 Le-chuan Li Ya-jun Yin +4 位作者 Bing-zheng Fan Guo-yan Shui Xiao-yuan Ji Jian-xin Zhou Lei Jin 《China Foundry》 SCIE EI CAS CSCD 2026年第1期20-30,共11页
Automation and intelligence have become the primary trends in the design of investment casting processes.However,the design of gating and riser systems still lacks precise quantitative evaluation criteria.Numerical si... Automation and intelligence have become the primary trends in the design of investment casting processes.However,the design of gating and riser systems still lacks precise quantitative evaluation criteria.Numerical simulation plays a significant role in quantitatively evaluating current processes and making targeted improvements,but its limitations lie in the inability to dynamically reflect the formation outcomes of castings under varying process conditions,making real-time adjustments to gating and riser designs challenging.In this study,an automated design model for gating and riser systems based on integrated parametric 3D modeling-simulation framework is proposed,which enhances the flexibility and usability of evaluating the casting process by simulation.Firstly,geometric feature extraction technology is employed to obtain the geometric information of the target casting.Based on this information,an automated design framework for gating and riser systems is established,incorporating multiple structural parameters for real-time process control.Subsequently,the simulation results for various structural parameters are analyzed,and the influence of these parameters on casting formation is thoroughly investigated.Finally,the optimal design scheme is generated and validated through experimental verification.Simulation analysis and experimental results show that using a larger gate neck(24 mm in side length) and external risers promotes a more uniform temperature distribution and a more stable flow state,effectively eliminating shrinkage cavities and enhancing process yield by 15%. 展开更多
关键词 numerical simulation automatic design investment casting parametric 3D modeling gating and riser system
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Semi-analytical modeling and dynamic improvement of a high-speed on/off valve considering nonlinear flux leakage of working air gaps 认领 引用
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作者 Lingkang Meng Defa Wu +3 位作者 Xujun Ye Jize Jiang Zhuo Mi Yinshui Liu 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2026年第2期363-373,共11页
A high-speed on/off valve(HSV)is a core component of aerospace digital hydraulic systems,and its dynamic performance is crucial for system reliability.A multistage voltage control(MSVC)strategy that uses currentbased ... A high-speed on/off valve(HSV)is a core component of aerospace digital hydraulic systems,and its dynamic performance is crucial for system reliability.A multistage voltage control(MSVC)strategy that uses currentbased feedback can improve dynamic characteristics.However,setting the critical feedback parameters,including the pre-opening and pre-closing currents,for the MSVC strategy depends on an accurate mathematical model of the HSV,particularly its magnetic model.Existing magnetic models typically ignore the changes in the magnetic flux leakage of the working air gaps(WAGs)to simplify the model,leading to deviations in the electromagnetic force calculations and limiting the potential of the MSVC strategy.This study presents a refined magnetic model using an equivalent magnetic circuit method that incorporates variations in the flux leakage of WAGs.Effective magnetic flux coefficients are introduced to quantify flux leakage.The relationship between the effective flux coefficients and the thickness of the WAGs is revealed by finite element simulation.A high-precision semi-analytical magnetic model for the HSV was established.Based on this,a current-based feedback MSVC strategy is proposed to improve the HSV dynamics.The simulation and experimental results validate the proposed model and control strategy.The results indicate that the effective flux coefficients decrease nonlinearly with the thickness of the WAGs,following a cubic relationship.The proposed model closely aligns with experimental data,exhibiting maximum deviations of only 6.0%(3.6 N)for electromagnetic force and 2.9%(0.39 ms)for total response time.Furthermore,compared with the previous model,utilizing the proposed model allows more accurate feedback parameter settings for the MSVC strategy,significantly reducing opening delay time by 70.7%(0.52 ms).This study offers a practical approach for fine modeling and dynamic performance improvement of HSVs. 展开更多
关键词 High-speed on/off valve Semi-analytical modeling Finite element analysis Dynamic characteristics Flux leakage
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Soil desiccation cracking under a non-uniform temperature field:Experimental investigation and DEM modeling 认领 引用
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作者 Tao Wang Chao-Sheng Tang +2 位作者 Luan Lin Ting-Ting Chen Zhao-Lin Cai 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第6期4782-4795,共14页
Soil desiccation cracking significantly impacts the hydraulic and mechanical properties of soil.Although extensive research has been conducted on cracking under uniform conditions,the influence of non-uniform temperat... Soil desiccation cracking significantly impacts the hydraulic and mechanical properties of soil.Although extensive research has been conducted on cracking under uniform conditions,the influence of non-uniform temperature fields remains poorly understood.This study combines laboratory experiments and discrete element method(DEM)simulations to investigate soil desiccation cracking under non-uniform temperature fields.Laboratory tests utilized a controlled heating setup to establish a temperature gradient,with digital image correlation(DIC)employed to analyze strain and displacement fields.DEM simulations incorporated a temperature-dependent evaporation model to capture the micromechanical behavior of soil particles under non-uniform thermal conditions.The results reveal that cracks initiate near the high-temperature region and propagate in a"fish-scale"pattern toward the low-temperature region,driven by differential evaporation and uneven shrinkage.A distinct dry/wet interface forms and migrates from the high-temperature to the low-temperature region as evaporation progresses.DEM simulations accurately reproduced the observed crack patterns,demonstrating the model's capability to capture the effects of non-uniform temperature fields on soil cracking.Furthermore,the simulations indicate that crack propagation is governed by the movement of tensile stress concentrations,which are more pronounced in high-temperature regions.This study highlights the critical role of temperature gradients in desiccation cracking,offering valuable insights for geotechnical engineering and enhancing predictive models under varying environmental conditions. 展开更多
关键词 Desiccation cracks Non-uniform temperature field Experiment Discrete element method(DEM)modeling Evaporation rate
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Improved method for modeling discrete segment surfaces in myopia control lens design 认领 引用
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作者 Dewen Cheng Yesheng Wang +4 位作者 Tong Yang Wenbin Wei Yabin Hu Weizhong Lan Yongtian Wang 《Advanced Photonics Nexus》 CSCD 2026年第1期88-100,共13页
With increasing awareness of myopia control,various preventive methods have been developed.In recent decades,a range of specialized spectacle lenses utilizing optical interventions has been manufactured and widely ado... With increasing awareness of myopia control,various preventive methods have been developed.In recent decades,a range of specialized spectacle lenses utilizing optical interventions has been manufactured and widely adopted for myopia management.However,the underlying optical mechanisms of these lenses remain unclear,and there is a lack of simulation methods for pre-manufacturing analysis.Meanwhile,the structures of these lenses are becoming increasingly complex,even incorporating an aspheric segment array on a curved base.To address these challenges,we have developed an efficient,accurate,and flexible modeling method for simulating such lenses,along with an experimental setup for validation.We provide deeper insights into the optical mechanisms of these lenses and establish a convenient design framework that facilitates the development of optimized lens structures. 展开更多
关键词 optics modeling complex surface description optical design optical property myopia management optical measurement
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Ultra-wideband channel modeling and characterization under low altitude scenarios 认领 引用
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作者 Taiya LEI Kai MAO +5 位作者 Qiuming ZHU Ruichen ZHANG Zhangfeng MA Boyu HUA Dusit NIYATO Qihui WU 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第5期146-159,共14页
A Low-Altitude(LA)intelligent network with unmanned aerial vehicles is a key component of space-air-ground integrated communication networks.Moreover,the Ultra-Wideband(UWB)technique offers a promising solution of hig... A Low-Altitude(LA)intelligent network with unmanned aerial vehicles is a key component of space-air-ground integrated communication networks.Moreover,the Ultra-Wideband(UWB)technique offers a promising solution of high-speed data transmission in the LA intelligent network due to its broad frequency spectrum.A deep understanding of UWB channels in LA scenarios is vital for design,optimization,and evaluation of reliable communication links.This paper proposes a novel LA UWB channel model,which comprehensively considers the impact of continuous frequency components within the band on the channel parameters and characteristics.On this basis,we present a detailed generation method of bandwidth-dependent channel parameters,i.e.,Path Loss(PL),K-factor,cluster-related parameters,and Doppler frequency.Furthermore,the phenomenon of channel hardening and Doppler companding with respect to the ultra-wide bandwidth are analyzed.Finally,a UWB channel sounder is developed and applied to conduct lowaltitude channel measurements in a 28 GHz campus scenario.The measured results such as PL,K-factor,and cluster numbers show good agreement with the proposed model,validating its accuracy and applicability. 展开更多
关键词 Bandwidth-dependent parameter Channel measurement Low-altitude intelligent network Ultra-wideband channel modeling Unmanned aerial vehicle
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Structural-state integrated modeling of multi-mechanism formation damage during drilling-completion 认领 引用
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作者 Ke-Ming Sheng Guan-Cheng Jiang +2 位作者 Ming-Liang Du Lan Qiao Yin-Bo He 《Petroleum Science》 SCIE EI CAS CSCD 2026年第4期1929-1954,共26页
To address the modeling fragmentation and predictive deviation caused by the conventional"singlemechanism,weakly coupled,additive response"approach in formation damage research,this study proposes an integra... To address the modeling fragmentation and predictive deviation caused by the conventional"singlemechanism,weakly coupled,additive response"approach in formation damage research,this study proposes an integrated modeling framework for multi-mechanism coupling throughout the entire drilling and completion process.Five dominant damage mechanisms are unified into a multi-physics formulation featuring a dual solid–liquid module architecture and a shared-state coupling mechanism.A structural-state integrated damage function(SSIDF)is introduced to establish a continuous mapping from microscopic mechanism evolution to macroscopic permeability degradation.A feedback network encompassing scaling,clay swelling,and water blocking is further developed,achieving bidirectional dynamic coupling among reaction kinetics,interfacial transport,and saturation fields,and representing one of the most systematic coupling schemes currently known.The model is solved via a space-time multi-scale optimization strategy,ensuring strong numerical stability and scalability.Field validation demonstrates a prediction accuracy of 98.6%,representing an improvement of over 8%compared to traditional additive models.The model is particularly applicable to unconventional reservoirs such as deepwater formations,where multi-mechanism damage evolves rapidly and conventional additive models fail to capture dynamic coupling behavior. 展开更多
关键词 Drilling and completion integration Unified modeling Multi-mechanism coupling Structural-state integrated damage function(SSIDF) Feedback network Structural disturbance function
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Thermodynamic constitutive modeling for analyzing the consistencies and differences of intelligent responses induced by thermo-elastic-viscoplastic couplings 认领 引用
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作者 Hao DUAN W.M.HUANG +2 位作者 Hao ZENG Jianping GU Huiyu SUN 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI CSCD 2026年第7期1533-1548,共16页
Through appropriate thermo-mechanical stimulation,shape memory polymers(SMPs)can exhibit autonomous shape-morphing capabilities,which are referred to as entropic elastic(EE)or reversible plastic(RP)intelligent respons... Through appropriate thermo-mechanical stimulation,shape memory polymers(SMPs)can exhibit autonomous shape-morphing capabilities,which are referred to as entropic elastic(EE)or reversible plastic(RP)intelligent responses.Currently,few studies in the literature address unified constitutive modeling for these two types of intelligent responses,and thermodynamic consistency is lacking.Here,we develop a unified thermodynamically consistent constitutive model that captures hyperelastic-viscoelastic and elasto-viscoplastic couplings,thereby reproducing both the EE and RP intelligent responses.Through verification against experimental data and results from subsequent mechanistic and parametric studies,the constitutive model can not only integrate the theoretical representations of these two phenomena into a mathematical framework,but also reveal the consistencies and differences between the two types of intelligent responses. 展开更多
关键词 intelligent response hyperelasticity-viscoelasticity elasto-viscoplasticity thermodynamic constitutive modeling
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