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Response of wind turbine loads to multi-scale turbulent structures:a study based on turbulence signals observed in the field 认领 引用
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作者 Yongfen Chai Yan Wang +2 位作者 Haolin Li Jingjing Zhang Jian Zheng 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第2期593-609,共17页
Accurately assessing the impact of turbulence structures on load fluctuation is crucial for the long-term stable operation of wind turbines.Based on turbulence signals observed at the Qingtu Lake Observed Array in Chi... Accurately assessing the impact of turbulence structures on load fluctuation is crucial for the long-term stable operation of wind turbines.Based on turbulence signals observed at the Qingtu Lake Observed Array in China,the aerodynamic load responses of the wind turbine to different turbulence scales are quantitatively analyzed in this study.The results indicate that very large-scale motions(VLSMs)are associated with significant load fluctuations due to its low frequency and high energy characteristics,increasing the risk of extreme loads.Large-scale motions coupled with the natural frequency of wind turbines in the medium frequency range,result in resonance phenomena.Small-scale motions,due to their high-frequency rapid vibration characteristics,cause instantaneous oscillations in wind turbine loads.Furthermore,correlation analysis indicates that the flapwise moment and thrust are most sensitive to VLSMs,while the edgewise moment is less affected by the scale characteristics.It is worth noting that this study is the first to explore the modulation effects of different scales of turbulent structures on the amplitude of wind turbine load fluctuation.It was found that turbulent structures exceeding a scale of 3δ have the most significant impact on modulating the load amplitudes,where δ is the boundary layer thickness,which is 99% of the flow velocity outside the boundary layer.These findings contribute to the enhancement of understanding regarding the load response of wind turbines in multi-scale turbulent environments and provide important references for the optimization of wind turbine design and load control. 展开更多
关键词 Multi-scale turbulent structures Wind turbine load response Field observation experiment Wavelet analyze
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Fabrication,microstructure and high-temperature strengthening mechanism of multi-scale Ti2AlC/TiAl composite 认领 引用
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作者 Zhe DENG Pei LIU +3 位作者 Zhi-yong ZHANG Ai-qin WANG Jing-pei XIE Zhen-bo WANG 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2026年第4期1140-1151,共12页
The multi-scale Ti2AlC/TiAl composites were fabricated.Micro-Ti2AlC particles are obtained in-situ at the grain boundaries of the full lamellar TiAl matrix by vacuum arc melting.The targeted precipitation of sub... The multi-scale Ti2AlC/TiAl composites were fabricated.Micro-Ti2AlC particles are obtained in-situ at the grain boundaries of the full lamellar TiAl matrix by vacuum arc melting.The targeted precipitation of submicro-Ti2AlC at the lamellae TiAl/Ti3Al phase boundary and directional precipitation of nano-Ti2AlC within TiAl crystals are achieved by heat treatment.And the best high-temperature tensile properties are obtained when the graphite powder is added at 2 at.%,resulting in a tensile strength of 561 MPa and an elongation of 3.6%.These findings underscore the multifaceted role played by the multi-scale Ti2AlC:micro-Ti2AlC effectively inhibits grain boundary softening and hinders dislocation motion,while submicro-Ti2AlC prevents twin propagation and obstructs dislocation motion.Nano-Ti2AlC,on the other hand,not only hinders dislocation movement but also fine-tunes the lamellar microstructure. 展开更多
关键词 multi-scale Ti2AlC/TiAl composite microstructure mechanical properties reinforcement mechanism
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Mechanical properties and deformation behavior of Mg-Al-Zn alloy laminate with multi-scale heterostructures 认领 引用
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作者 Shuaishuai Liu Xiang Chen +7 位作者 Tianjiao Li Wenhuan Chen Liping Zhong Yongjian Wang Manoj Gupta Guangsheng Huang Bin Jiang Fusheng Pan 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2025年第31期134-150,共17页
Heterostructured materials as a new class can effectively avoid the inverted relationship of the“banana”curve followed by strength-ductility.The difference in grain size is the mainstream idea of the design of heter... Heterostructured materials as a new class can effectively avoid the inverted relationship of the“banana”curve followed by strength-ductility.The difference in grain size is the mainstream idea of the design of heterogeneous zones.However,the synergistic strengthening mechanism and deformation behavior among multi-scale heterostructures are still unclear.In this work,AZ80/AZ31 laminate with a multi-scale heterogeneous distribution of grain size,precipitates,and texture between alternate AZ31 and AZ80 component layers,which was constructed by accumulative extrusion bonding combined with aging treatment.The composite samples after 2-pass extrusion presented an outstanding strength-ductility synergy,which was attributed to the joint action of texture softening and hardening,grain refinement as well as multistage heterogeneous deformation induced(HDI)strengthening and hardening.Multi-types of heterogeneous regions provided more sites for geometrically necessary dislocation accumulation to accommodate multiple strain gradients under the constraint of multi-layer interfaces,enhancing HDI stress.The synergistic effect of great Schmid factor difference and increasing geometric compatibility factor between adjacent grains at the layer interface led to strain transfer behavior,which facilitated strain delocalization.This work expands the design ideas and preparation methods of heterostructured materials and enriches the theory of heterogeneous deformation. 展开更多
关键词 AZ alloys Multi-scale heterostructures Mechanical properties HDI stress Micro strain
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Biomimetic Engineering High-Sensitivity Flexible Pressure Sensors with Ultra-Wide Pressure Detection Range via Synergistic Interlocked Structures and Multi-scale Micro-dome Interfaces 认领 引用
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作者 Junqiu Zhang Jiachao Wu +16 位作者 Lili Liu Tao Sun Xiangbo Gu Zijian Shi Xueyang Li Xueping Zhang Yu Chen Jiqi Gao Kejun Wang Bin Zhu Wenze Sun Yutao Mei Yubo Yan Yan Li Zhijing Wu Zhiwu Han Luquan Ren 《Journal of Bionic Engineering》 SCIE EI CSCD 2025年第5期2550-2560,共11页
Flexible pressure sensors have excellent prospects in applications of human-machine interfaces,artificial intelligence and human health monitoring due to their bendable and lightweight characteristics compared to rigi... Flexible pressure sensors have excellent prospects in applications of human-machine interfaces,artificial intelligence and human health monitoring due to their bendable and lightweight characteristics compared to rigid pressure sensors.However,arising from the limited compressibility of soft materials and the hardening of microstructures at the device interface,there is always a trade-off between high sensitivity and broad sensing range for most flexible pressure sensors,which results in a gradual saturation response and limits their practical applications.Herein,inspired by the distinct pressure perception function of crocodile receptors,a highly sensitive and wide-range flexible pressure sensor with multiscale microdomes and interlocked architecture is developed via a facile PS-decorated molding method.Combined with interlocked architecture,the multiscale dome-shaped structured interface enhances the compressibility of the material through structural complementarity,increases the contact area between functional materials,which compensates for the stiffness induced by the deformation of dense microscale columns.This effectively mitigates structural hardening across a wide pressure range,leading to the overall high performance of the sensor.As a result,the obtained sensor exhibits a low detection limit of 5 Pa,a high sensitivity of 6.14 kPa-1,a wide measurement range up to 231 kPa,short responseecovery time of 56 ms/69 ms,outstanding stability over 10,000 cycles.Considering these excellent properties,the sensor shows promising potential in health monitoring,human-computer interaction,wearable electronics.This study presents a strategy for the fabrication of flexible pressure sensors exhibiting high sensitivity and a wide pressure response range. 展开更多
关键词 Biomimetic engineering Flexible pressure sensors Ultrahigh sensitivity and wide-range detection Multiscale interface Interlocked structure
Multi-scale quantitative study on cemented tailings and waste-rock backfill under different loading rates 认领 引用 被引量：1
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作者 YIN Sheng-hua CHEN Jun-wei +4 位作者 YAN Ze-peng ZENG Jia-lu ZHOU Yun YANG Jian ZHANG Fu-shun 《Journal of Central South University》 SCIE EI CAS CSCD 2026年第1期357-374,共18页
The development of metallic mineral resources generates a significant amount of solid waste,such as tailings and waste rock.Cemented tailings and waste-rock backfill(CTWB)is an effective method for managing and dispos... The development of metallic mineral resources generates a significant amount of solid waste,such as tailings and waste rock.Cemented tailings and waste-rock backfill(CTWB)is an effective method for managing and disposing of this mining waste.This study employs a macro-meso-micro testing method to investigate the effects of the waste rock grading index(WGI)and loading rate(LR)on the uniaxial compressive strength(UCS),pore structure,and micromorphology of CTWB materials.Pore structures were analyzed using scanning electron microscopy(SEM)and mercury intrusion porosimetry(MIP).The particles(pores)and cracks analysis system(PCAS)software was used to quantitatively characterize the multi-scale micropores in the SEM images.The key findings indicate that the macroscopic results(UCS)of CTWB materials correspond to the microscopic results(pore structure and micromorphology).Changes in porosity largely depend on the conditions of waste rock grading index and loading rate.The inclusion of waste rock initially increases and then decreases the UCS,while porosity first decreases and then increases,with a critical waste rock grading index of 0.6.As the loading rate increases,UCS initially rises and then falls,while porosity gradually increases.Based on MIP and SEM results,at waste rock grading index 0.6,the most probable pore diameters,total pore area(TPA),pore number(PN),maximum pore area(MPA),and area probability distribution index(APDI)are minimized,while average pore form factor(APF)and fractal dimension of pore porosity distribution(FDPD)are maximized,indicating the most compact pore structure.At a loading rate of 12.0 mm/min,the most probable pore diameters,TPA,PN,MPA,APF,and APDI reach their maximum values,while FDPD reaches its minimum value.Finally,the mechanism of CTWB materials during compression is analyzed,based on the quantitative results of UCS and porosity.The research findings play a crucial role in ensuring the successful application of CTWB materials in deep metal mines. 展开更多
关键词 cemented backfill waste rock loading rate multi-scale analysis mercury intrusion porosimetry pore structure micromorphology
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Energy absorption mechanism and cost-benefit assessment of UHMWPE and para-aramid hybrid fabrics for protective structures 认领 引用 被引量：1
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作者 Bo Feng Hongming Li +3 位作者 Jianhua Shao Zhijun Wang Chuang Feng Jitao Zhong 《Defence Technology（防务技术）》 SCIE EI CAS CSCD 2026年第3期363-376,共14页
UHMWPE(Ultra-High Molecular Weight Polyethylene)plain-weave fabric,characterized by its lightweight and high-strength properties,is widely used in protective equipment such as bulletproof vests and stab-resistant vest... UHMWPE(Ultra-High Molecular Weight Polyethylene)plain-weave fabric,characterized by its lightweight and high-strength properties,is widely used in protective equipment such as bulletproof vests and stab-resistant vests,serving as a key material for enhancing protective performance.This study systematically investigates the influence mechanism of interfacial properties on the energy absorption characteristics of UHMWPE-based protective structures through multi-scale experiments and numerical simulations,and establishes a cross-scale design methodology.Innovatively,an orthotropic constitutive model incorporating dynamic friction coefficients is constructed,combined with a modified Johnson-Cook failure criterion,to achieve high-precision simulation of the entire ballistic impact process(error<3.5%).Additionally,a friction field prediction model considering strain rate effects is developed,and the friction evolution laws of UHMWPE and Para-aramid(Kevlar)fabrics under strain rates of 10−3 and 10−4 s−1 are obtained through MTS pull-out tests.The results show that:(1)there exists a critical yarn-yarn friction coefficient(μ=0.2);exceeding this value leads to a 19%reduction in energy absorption capacity,while viscous interfaces increase the energy dissipation peak by 16%;(2)UHMWPE shows kinetically-dominated absorption(58%)with high rate but high load,increasing damage risk.Para-aramid has friction-dominated absorption(53%)with a lower rate but stable load.Hybrid fabrics use potential-dominated absorption(49%)at a moderate rate,balancing stability and protection.(3)3–5 layers of UHMWPE fabric yield optimal cost-effectiveness,with the unit cost reduction rate of the HS+5U scheme reaching 2.74 m/(s·$),which is 91%higher than that of the hybrid scheme.(4)For HS+5U(5-ply UHMWPE),V50 is 520 m/s,meeting primary protection requirement.For hybrid solutions with U/K≥3(e.g.,HS+6U+2K),V50 reaches 580 m/s(≥540 m/s),satisfying advanced protection requirement.This research provides critical references for the design of flexible protective structures and their engineering applications. 展开更多
关键词 UHMWPE Interfacial friction Multi-scale representation Energy absorption mechanism Cost-benefit assessment
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Multi-scale simulation for atomic oxygen erosion in low Earth orbit on polymer matrix by bridging reactive molecular dynamics and finite element analysis 认领 引用 被引量：1
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作者 Jiwon JUNG Jongkyung AN +2 位作者 Seunghwan KWON Byeong-Joo KIM Gun Jin YUN 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第4期654-667,共14页
Materials constituting satellites in the Low Earth Orbit(LEO)environment undergo degradation during missions due to harsh conditions such as cyclic temperature variations in high-vacuum,exposure to UV radiation,and co... Materials constituting satellites in the Low Earth Orbit(LEO)environment undergo degradation during missions due to harsh conditions such as cyclic temperature variations in high-vacuum,exposure to UV radiation,and collisions with highly reactive Atomic Oxygens(AO).Especially among those,AO collisions oxidize the surface and induce mass loss by generating volatile gases,leading to component failure.Reactive Force Field(Reax FF)molecular dynamics simulations,capable of describing chemical reactions,have been continuously performed to evaluate the AO erosion resistance of surface materials in LEO.Previous molecular simulation-based studies,however,evaluated AO resistance qualitatively by utilizing constant particle Number,Volume,Energy(NVE)ensemble simulations,where temperatures rise to several thousand kelvins over tens of picoseconds,and such extreme temperature conditions were not directly compatible with physical conditions in LEO.Therefore,we aimed to develop a multi-scale AO erosion analysis bridging thermal Finite Element Analysis(FEA)with mass loss rate determined from the Reax FF MD simulations.The overall thermal analysis was conducted over solar heat flux and surface radiation,while the ABAQUS Umeshmotion and Arbitrary Lagrangian-Eulerian(ALE)algorithm was adopted to analyze the surface recession of the model.The relation between erosion yields in given temperature conditions was calculated using constant particle Number,Volume,Temperature(NVT)ensemble,fitted as the Arrhenius equation form,and implemented to the FEA simulations. 展开更多
关键词 Atomic oxygen Low Earth orbit Multi-scale ReaxFF Surface erosion
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A novel Angle-Constrained Optimization method of Conformal Lattice Structures 认领 引用 被引量：1
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作者 Jun Yan Weibin Xu +2 位作者 Fuhao Wang Sixu Huo Kun Yan 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第2期269-295,共27页
Conformal truss-like lattice structures face significant manufacturability challenges in additive manufac-turing due to overhang angle limitations.To address this problem,we propose a novel angle-constrained optimizat... Conformal truss-like lattice structures face significant manufacturability challenges in additive manufac-turing due to overhang angle limitations.To address this problem,we propose a novel angle-constrained optimization method grounded in the global adjustment of nodal coordinates.First,a build direction is selected to minimize the number of violating struts.Then,an angular-constraint matrix is assembled from strut direction vectors,and analytical sensitivities with respect to nodal coordinates are derived to enable efficient constrained optimization under nonlinear angular inequality constraints.Numerical studies on two complex curved-surface lattices demonstrate that all overhang violations are eliminated while only minor changes are induced in global stiffness and strength.In particular,the maximum displacement of an ergonomic insole varies by only 2.87%after optimization.The results confirm the method’s versatility and engineering robustness,providing a practical approach for additive manufacturing-oriented lattice structure design. 展开更多
关键词 Conformal lattice structures additive manufacturing structural optimization complex structures
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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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A review on multi-scale structure engineering of carbon-based electrode materials towards dense energy storage for supercapacitors 认领 引用 被引量：1
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作者 Dongyang Wu Fei Sun +5 位作者 Min Xie Hua Wang Wei Fan Jihui Gao Guangbo Zhao Shaoqin Liu 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2025年第3期768-799,共32页
Improving the volumetric energy density of supercapacitors is essential for practical applications,which highly relies on the dense storage of ions in carbon-based electrodes.The functional units of carbon-based elect... Improving the volumetric energy density of supercapacitors is essential for practical applications,which highly relies on the dense storage of ions in carbon-based electrodes.The functional units of carbon-based electrode exhibit multi-scale structural characteristics including macroscopic electrode morphologies,mesoscopic microcrystals and pores,and microscopic defects and dopants in the carbon basal plane.Therefore,the ordered combination of multi-scale structures of carbon electrode is crucial for achieving dense energy storage and high volumetric performance by leveraging the functions of various scale structu re.Considering that previous reviews have focused more on the discussion of specific scale structu re of carbon electrodes,this review takes a multi-scale perspective in which recent progresses regarding the structureperformance relationship,underlying mechanism and directional design of carbon-based multi-scale structures including carbon morphology,pore structure,carbon basal plane micro-environment and electrode technology on dense energy storage and volumetric property of supercapacitors are systematically discussed.We analyzed in detail the effects of the morphology,pore,and micro-environment of carbon electrode materials on ion dense storage,summarized the specific effects of different scale structures on volumetric property and recent research progress,and proposed the mutual influence and trade-off relationship between various scale structures.In addition,the challenges and outlooks for improving the dense storage and volumetric performance of carbon-based supercapacitors are analyzed,which can provide feasible technical reference and guidance for the design and manufacture of dense carbon-based electrode materials. 展开更多
关键词 Supercapacitors Carbon-based electrodes Volumetric performances Multi-scale structure Dense energy storage
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Using multi-scale interaction mechanisms in yolk-shell structured C/Co composite materials for electromagnetic wave absorption 认领 引用 被引量：2
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作者 Jintang Zhou Kexin Zou +11 位作者 Jiaqi Tao Jun Liu Yijie Liu Lvtong Duan Zhenyu Cheng Borui Zha Zhengjun Yao Guiyu Peng Xuewei Tao Hexia Huang Yao Ma Peijiang Liu 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2025年第12期36-44,共9页
Advanced chemical engineering for simultaneous modulation of nanomaterial morphology, defects, interfaces, and structure to enhance electromagnetic and microwave absorption (MA) performance. However, accurately distin... Advanced chemical engineering for simultaneous modulation of nanomaterial morphology, defects, interfaces, and structure to enhance electromagnetic and microwave absorption (MA) performance. However, accurately distinguishing the MA contributions of different scale factors and tuning the optimal combined effects remains a formidable challenge. This study employs a synergistic approach combining template protection etching and vacuum annealing to construct a controlled system of micrometer-sized cavities and amorphous carbon matrices in metal-organic framework (MOF) derivatives. The results demonstrate that the spatial effects introduced by the hollow structure enhance dielectric loss but significantly weaken impedance matching. By increasing the proportion of amorphous carbon, the balance between electromagnetic loss and impedance matching can be effectively maintained. Importantly, in a suitable graphitization environment, the presence of oxygen vacancies in amorphous carbon can induce significant polarization to compensate for the reduced conductivity loss due to the absence of sp2 carbon. Through the synergistic effects of morphology and composition, the samples exhibit a broader absorption bandwidth (6.28 GHz) and stronger reflection loss (−61.64 dB) compared to the original MOF. In conclusion, this study aims to elucidate the multiscale impacts of macroscopic micro-nano structure and microscopic defect engineering, providing valuable insights for future research in this field. 展开更多
关键词 MOFs Multi-scale regulation Yolk-shell structure Amorphous carbon Oxygen vacancy Microwave absorption
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Research progress on bio-inspired composite structures based on ceramic 3D printing:a review 认领 引用
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作者 Dekun Kong Hailong Wu +4 位作者 Qingquan Zhang Dechao Lyu Yumeng Han Zhihui Zhang Luquan Ren 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第3期430-468,共39页
Ceramic materials demonstrate great application potential in multiple fields such as aerospace and biomedical engineering due to their excellent mechanical properties,high-temperature resistance,and good biocompatibil... Ceramic materials demonstrate great application potential in multiple fields such as aerospace and biomedical engineering due to their excellent mechanical properties,high-temperature resistance,and good biocompatibility,but their inherent brittleness and processing defects urgently need to be broken through.Inspired by the biological structures found in nature,the integration of biomimicry and additive manufacturing(AM)technologies offers a new pathway for the innovative design of high-performance ceramic materials.This article systematically reviews the fundamental principles and classifications of ceramic AM technology,focusing on six typical elements of biomimetic structural design:coaxial composite structures,surface reinforcement structures,layered composite structures,porous structures,composite multicomponent structures,and intelligent bionic structures.The review delves into their biomimetic principles,preparation strategies,performance advantages,and research progress.Research indicates that through multiscale topological design and functional integration,these structures can significantly enhance the mechanical properties and environmental adaptability of ceramics.Nevertheless,current technologies still face numerous challenges in balancing manufacturing precision and efficiency,controlling cracks and residual stresses caused by interface defects,ensuring long-term material stability under extreme environments,enhancing intelligent response capabilities,and guaranteeing process scalability and performance consistency in clinical applications.Future research should integrate multidisciplinary approaches to optimize structural design and dynamic response,transforming biomimetic ceramic materials from‘biological replication'to‘performance exceeding',thereby providing theoretical and technical support for the customized development of high-performance ceramic devices. 展开更多
关键词 bio-inspired composite structures ceramic additive manufacturing coaxial composite structures composite multicomponent structures intelligent bionic structures
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Evaluation of the multi-scale variability of ocean bottom pressure in a global ocean general circulation model 认领 引用
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作者 Jiahui Bai Jingwei Xie +7 位作者 Zipeng Yu Jiangfeng Yu Hailong Liu Fan Yang Pengfei Lin Tao Zhang Chunxiang Shi Yun Xiao 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2026年第2期87-101,共15页
Ocean bottom pressure(OBP)reflects ocean dynamics,thermodynamics,and Earth’s gravity field,playing a key role in physical oceanography and in reducing aliasing errors in satellite gravimetry.Due to limited observatio... Ocean bottom pressure(OBP)reflects ocean dynamics,thermodynamics,and Earth’s gravity field,playing a key role in physical oceanography and in reducing aliasing errors in satellite gravimetry.Due to limited observations,highfrequency global OBP studies rely on numerical models,which inherently contain uncertainties.This study employs the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics/Institute of Atmospheric Physics(LASG/IAP)Climate System Ocean Model version 3.0(LICOM3.0)to simulate global OBP from 2002 to 2018,driven by two different atmospheric reanalysis datasets.Validation against in situ observations shows that LICOM3.0 effectively captures sub-seasonal OBP variability(1–30 d)at the available stations,which are located in the Pacific and along the Atlantic coast.Compared to another ocean model,LICOM3.0 reproduces similar OBP patterns for periods longer than 1 d and spatial scales greater than 500 km,demonstrating its capability for large-scale OBP analysis and assessing inter-model uncertainty.However,the model underestimates OBP amplitudes,and exhibits marked discrepancies at sub-daily periods,in marginal seas,and on spatial scales below 500 km with reference data.These issues are consistent across both experiments,indicating that model configuration contributes to the limitations.Potential sources of error are discussed to support future model improvements.Overall,LICOM3.0 can serve as an effective tool for oceanic scientific applications and for de-aliasing in satellite gravimetry applications. 展开更多
关键词 ocean bottom pressure ocean model multi-scale
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Acoustic Absorption Properties of Bio-inspired Stochastic Voronoi Porous Structures 认领 引用
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作者 Wenjiong Chen Hanbin Wang +1 位作者 Zhiqi Li Shutian Liu 《Journal of Bionic Engineering》 SCIE EI CSCD 2026年第3期1736-1750,共15页
Voronoi structures are widely present in nature,and highly ordered Voronoi structures such as honeycomb structures have gained extensive recognition and in-depth research in the field of sound absorption structure des... Voronoi structures are widely present in nature,and highly ordered Voronoi structures such as honeycomb structures have gained extensive recognition and in-depth research in the field of sound absorption structure design.However,Voronoi structures in biological tissues are not all highly ordered.Stochastic Voronoi structures are equally prevalent and exhibit excellent multifunctional properties.To further explore the acoustic value of stochastic Voronoi structures,this study proposes a Voronoi sound absorbing porous structure that features both structural stochasticity and performance robustness.First,a theoretical calculation model is established based on microperforated panel theory and Helmholtz resonance theory,enabling the rapid calculation of the structure’s sound absorption coefficient.Then,a systematic analysis is conducted on the effective conditions for absorption performance robustness from four dimensions:unit number,structural randomness,manufacturing errors,and boundary cutting.Results indicate that there exists a unit number threshold associated with absorption bandwidth in the Voronoi structure.When this threshold is exceeded,the structure can exhibit favorable sound absorption robustness against structural stochasticity,manufacturing errors,and boundary cutting.Experimental verification shows that under significant boundary changes,the structure still maintains an average sound absorption coefficient of approximately 0.8 within an absorption bandwidth of approximately 400 Hz.Its favorable low-frequency broadband sound absorption performance and robustness endow it with promising application prospects in engineering fields where cost control,environmental adaptability,and construction efficiency need to be balanced. 展开更多
关键词 Sound absorption structure Voronoi Structural stochasticity Performance robustness Porous structure
Multi-scale keypoints detection and motion features extraction in dairy cows using ResNet101-ASPP network 认领 引用
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作者 Saisai Wu Shuqing Han +5 位作者 Jing Zhang Guodong Cheng Yali Wang Kai Zhang Mingming Han Jianzhai Wu 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2026年第5期2028-2040,共13页
Detecting keypoints in dairy cows aims to locate and track the motion trajectories of the body's joints,which plays a crucial role in behavior analysis and lameness detection.However,real farming scenarios,charact... Detecting keypoints in dairy cows aims to locate and track the motion trajectories of the body's joints,which plays a crucial role in behavior analysis and lameness detection.However,real farming scenarios,characterized by occlusions and large variations in object scale may result in poor detection results.Therefore,we introduce the atrous spatial pyramid pooling(ASPP) module into the shallow layers network of ResNet101,designed to improve the multi-scale feature extraction capability of the model.The ASPP module enhances the robustness of recognition for different dimensional sizes and occluded keypoints using different dilatation rates in the parallel atrous convolutional layers to expand the model's receptive field.Furthermore,seven types of motion features,including tracking up,gait symmetry,step height balance,motion speed variability,head swing amplitude,head-neck slope and back curvature are extracted simultaneously by monitoring and tracking the motion trajectory of distinct keypoints.Several of these features represent innovative extraction models and attributes,first proposed in this study.Multiple models are trained and tested on datasets containing 2,385 frames for ablation experiments.The experiments show that,in comparison with the ResNet50,MobileNet_v2_1.0,and EfficientNet-b0backbone networks,the training error and test error of ResNet101 are reduced by 4.04-30.12 pixels and 3.81-28.14 pixels.Therefore,ResNet101 is used as the benchmark for subsequent model improvement by adding the ASPP module.The training error and test error of the ResNet101-ASPP network are reduced by 0.27 and 0.24 pixels,respectively,compared to the benchmark network.The prediction confidence improves by 1.65-2.50% at three different dairy cow object scales.In addition,the keypoints under different occlusion conditions improve considerably,especially for small-scale keypoints,demonstrating the capability of the ASPP module for multi-scale feature extraction.By analyzing the distribution of the seven features and health,mild lameness,and severe lameness in dairy cows,it is shown that all the different features play an important role in distinguishing between different levels of lameness. 展开更多
关键词 dairy cows multi-scale keypoints detection ResNet101-ASPP network motion features
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MewCDNet: A Wavelet-Based Multi-Scale Interaction Network for Efficient Remote Sensing Building Change Detection 认领 引用
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作者 Jia Liu Hao Chen +5 位作者 Hang Gu Yushan Pan Haoran Chen Erlin Tian Min Huang Zuhe Li 《Computers, Materials & Continua》 SCIE EI 2026年第1期687-710,共24页
Accurate and efficient detection of building changes in remote sensing imagery is crucial for urban planning,disaster emergency response,and resource management.However,existing methods face challenges such as spectra... Accurate and efficient detection of building changes in remote sensing imagery is crucial for urban planning,disaster emergency response,and resource management.However,existing methods face challenges such as spectral similarity between buildings and backgrounds,sensor variations,and insufficient computational efficiency.To address these challenges,this paper proposes a novel Multi-scale Efficient Wavelet-based Change Detection Network(MewCDNet),which integrates the advantages of Convolutional Neural Networks and Transformers,balances computational costs,and achieves high-performance building change detection.The network employs EfficientNet-B4 as the backbone for hierarchical feature extraction,integrates multi-level feature maps through a multi-scale fusion strategy,and incorporates two key modules:Cross-temporal Difference Detection(CTDD)and Cross-scale Wavelet Refinement(CSWR).CTDD adopts a dual-branch architecture that combines pixel-wise differencing with semanticaware Euclidean distance weighting to enhance the distinction between true changes and background noise.CSWR integrates Haar-based Discrete Wavelet Transform with multi-head cross-attention mechanisms,enabling cross-scale feature fusion while significantly improving edge localization and suppressing spurious changes.Extensive experiments on four benchmark datasets demonstrate MewCDNet’s superiority over comparison methods:achieving F1 scores of 91.54%on LEVIR,93.70%on WHUCD,and 64.96%on S2Looking for building change detection.Furthermore,MewCDNet exhibits optimal performance on the multi-class⋅SYSU dataset(F1:82.71%),highlighting its exceptional generalization capability. 展开更多
关键词 Remote sensing change detection deep learning wavelet transform multi-scale
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Efficient Video Emotion Recognition via Multi-Scale Region-Aware Convolution and Temporal Interaction Sampling 认领 引用
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作者 Xiaorui Zhang Chunlin Yuan +1 位作者 Wei Sun Ting Wang 《Computers, Materials & Continua》 SCIE EI 2026年第2期2036-2054,共19页
Video emotion recognition is widely used due to its alignment with the temporal characteristics of human emotional expression,but existingmodels have significant shortcomings.On the one hand,Transformermultihead self-... Video emotion recognition is widely used due to its alignment with the temporal characteristics of human emotional expression,but existingmodels have significant shortcomings.On the one hand,Transformermultihead self-attention modeling of global temporal dependency has problems of high computational overhead and feature similarity.On the other hand,fixed-size convolution kernels are often used,which have weak perception ability for emotional regions of different scales.Therefore,this paper proposes a video emotion recognition model that combines multi-scale region-aware convolution with temporal interactive sampling.In terms of space,multi-branch large-kernel stripe convolution is used to perceive emotional region features at different scales,and attention weights are generated for each scale feature.In terms of time,multi-layer odd-even down-sampling is performed on the time series,and oddeven sub-sequence interaction is performed to solve the problem of feature similarity,while reducing computational costs due to the linear relationship between sampling and convolution overhead.This paper was tested on CMU-MOSI,CMU-MOSEI,and Hume Reaction.The Acc-2 reached 83.4%,85.2%,and 81.2%,respectively.The experimental results show that the model can significantly improve the accuracy of emotion recognition. 展开更多
关键词 Multi-scale region-aware convolution temporal interaction sampling video emotion recognition
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A multi-scale fracture prediction method based on improved deep embedded clustering 认领 引用
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作者 Yu-jia Lu Chao Chen +2 位作者 Zhu-jiang Liu Fu-bin Wei Zhe-ge Liu 《Applied Geophysics》 SCIE CSCD 2026年第2期571-590,867,共20页
Accurately characterizing the distribution and scale characteristics of fractures in subsurface media is a crucial step for quantitatively evaluating shale gas sweet spots and guiding reservoir fracturing stimulation.... Accurately characterizing the distribution and scale characteristics of fractures in subsurface media is a crucial step for quantitatively evaluating shale gas sweet spots and guiding reservoir fracturing stimulation.However,a single seismic attribute is often used to identify fracture features of a specifi c scale,making it diffi cult to achieve detailed characterization of fractures across multiple scales simultaneously.Multi-attribute fusion algorithms often focus on statistical correlations,lacking in-depth exploration of the spatial topological relationships and intrinsic physical connections among fractures of diff erent scales,resulting in reduced accuracy in complex structural areas.To address this challenge,we propose a multi-scale integrated fracture prediction method based on an improved deep embedded clustering(DEC)framework,using the marine shale reservoir of the Wufeng–Longmaxi Formation in southeastern Sichuan Basin as a case study.Specifically,(1)an improved DEC objective function integrating fracture topology constraints and cluster-balancing mechanisms is developed to enhance the model’s adaptability to complex geological structures;(2)an“expand–then–contract”stacked autoencoder architecture is designed to better capture nonlinear relationships among multi-attribute data and decouple multi-scale fracture features;and(3)an integrated workfl ow from multi-attribute optimization,intelligent fusion clustering to geological interpretation is established,enabling diff erentiated and high-precision characterization of multi-scale fractures.Furthermore,based on the geological characteristics of the study area,we systematically analyze the spatial mapping relationships of the autoencoder’s multi-layer features and elucidate their implicit geophysical signifi cance.This analysis reveals the intrinsic processes through which the proposed model performs fracture attribute optimization,noise separation,and multi-scale feature extraction.Finally,by integrating intelligent fault identifi cation,micro-fracture amplitude variation with azimuth(AVAZ)inversion,and conventional geometric attributes,high-precision spatial characterization of the fracture system is achieved,spanning from large-scale faults to micro-fractures.The prediction results show strong agreement with geological understanding. 展开更多
关键词 Multi-scale fractures Deep embedded clustering Deep learning Autoencoding Marine shale
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M2ATNet: Multi-Scale Multi-Attention Denoising and Feature Fusion Transformer for Low-Light Image Enhancement 认领 引用
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作者 Zhongliang Wei Jianlong An Chang Su 《Computers, Materials & Continua》 SCIE EI 2026年第1期1819-1838,共20页
Images taken in dim environments frequently exhibit issues like insufficient brightness,noise,color shifts,and loss of detail.These problems pose significant challenges to dark image enhancement tasks.Current approach... Images taken in dim environments frequently exhibit issues like insufficient brightness,noise,color shifts,and loss of detail.These problems pose significant challenges to dark image enhancement tasks.Current approaches,while effective in global illumination modeling,often struggle to simultaneously suppress noise and preserve structural details,especially under heterogeneous lighting.Furthermore,misalignment between luminance and color channels introduces additional challenges to accurate enhancement.In response to the aforementioned difficulties,we introduce a single-stage framework,M2ATNet,using the multi-scale multi-attention and Transformer architecture.First,to address the problems of texture blurring and residual noise,we design a multi-scale multi-attention denoising module(MMAD),which is applied separately to the luminance and color channels to enhance the structural and texture modeling capabilities.Secondly,to solve the non-alignment problem of the luminance and color channels,we introduce the multi-channel feature fusion Transformer(CFFT)module,which effectively recovers the dark details and corrects the color shifts through cross-channel alignment and deep feature interaction.To guide the model to learn more stably and efficiently,we also fuse multiple types of loss functions to form a hybrid loss term.We extensively evaluate the proposed method on various standard datasets,including LOL-v1,LOL-v2,DICM,LIME,and NPE.Evaluation in terms of numerical metrics and visual quality demonstrate that M2ATNet consistently outperforms existing advanced approaches.Ablation studies further confirm the critical roles played by the MMAD and CFFT modules to detail preservation and visual fidelity under challenging illumination-deficient environments. 展开更多
关键词 Low-light image enhancement multi-scale multi-attention transformer
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