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Multi-physics modeling of laser melted magnesium alloy:Bridging melt pool dynamics to microstructure evolution 认领 引用
1
作者 Junying Liu Xuehua Wu +7 位作者 Dongsheng Wang Chunrong Pan Renkai Huang Fang Deng Cijun Shuai Joseph Buhagiar Jing Bai Youwen Yang 《Journal of Magnesium and Alloys》 SCIE EI CAS CSCD 2025年第12期6167-6182,共16页
Laser powder bed fusion(LPBF)has revolutionized modern manufacturing by enabling high design freedom,rapid prototyping,and tailored mechanical properties.However,optimizing process parameters remains challenging due t... Laser powder bed fusion(LPBF)has revolutionized modern manufacturing by enabling high design freedom,rapid prototyping,and tailored mechanical properties.However,optimizing process parameters remains challenging due to the trial-and-error approaches required to capture subtle parameter-microstructure relationships.This study employed a multi-physics computational framework to investigate the melting and solidification dynamics of magnesium alloy.By integrating the discrete element method for powder bed generation,finite volume method with volume of fluid for melt pool behavior,and phase-field method for microstructural evolution,the critical physical phenomena,including powder melting,molten pool flow,and directional solidification were simulated.The effects of laser power and scanning speed on temperature distribution,melt pool geometry,and dendritic morphology were systematically analyzed.It was revealed that increasing laser power expanded melt pool dimensions and promoted columnar dendritic growth,while high scanning speeds reduced melt pool stability and refined dendritic structures.Furthermore,Marangoni convection and thermal gradients governed solute redistribution,with excessive energy input risking defects such as porosity and elemental evaporation.These insights establish quantitative correlations between process parameters,thermal history,and microstructural characteristics,providing a validated roadmap for LPBF-processed magnesium alloy with tailored performance. 展开更多
关键词 Laser powder bed fusion Magnesium alloy Multi-physics modeling Microstructure evolution Process optimization
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Scalable and Passive Concentrator Photovoltaics Using a Multi-Focal Pyramidal Array:A Multi-Physics Modeling Approach 认领 引用
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作者 Mussad Mohammed Al-Zahrani Taher Maatallah 《Frontiers in Heat and Mass Transfer》 EI CAS 2025年第6期1883-1905,共23页
Conventional concentrator photovoltaics(CPV)face a persistent trade-off between high efficiency and high cost,driven by expensive multi-junction solar cells and complex active cooling systems.This study presents a com... Conventional concentrator photovoltaics(CPV)face a persistent trade-off between high efficiency and high cost,driven by expensive multi-junction solar cells and complex active cooling systems.This study presents a computational investigation of a novel Multi-Focal Pyramidal Array(MFPA)-based CPV system designed to overcome this limitation.The MFPA architecture employs a geometrically optimized pyramidal concentrator to distribute concen-trated sunlight onto strategically placed,low-cost monocrystalline silicon cells,enabling high efficiency energy capture while passively managing thermal loads.Coupled optical thermal electrical simulations in COMSOL Multiphysics demonstrate a geometric concentration ratio of 120×,with system temperatures maintained below 110℃ under standard 1000 W/m2 Direct Normal Irradiance(DNI).Ray tracing confirms 95%optical efficiency and a concentrated light spot radius of 2.48 mm.Compared with conventional CPV designs,the MFPA improves power-per-cost by 25%and reduces tracking requirements by 50%owing to its wide±15°acceptance angle.These results highlight the MFPA’s potential as a scalable,low-cost,and energy-efficient pathway for expanding solar power generation. 展开更多
关键词 Concentrating photovoltaic(CPV) multi-focal pyramidal array(MFPA) multi-physics simulation optical-thermal coupling geometric concentration solar energy conversion
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Mechatronic Modeling and Domain Transformation of Multi-physics Systems 认领 引用
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作者 Clarence W.DE SILVA 《Instrumentation》 2021年第1期14-28,共15页
The enhanced definition of Mechatronics involves the four underlying characteristics of integrated,unified,unique,and systematic approaches.In this realm,Mechatronics is not limited to electro-mechanical systems,in th... The enhanced definition of Mechatronics involves the four underlying characteristics of integrated,unified,unique,and systematic approaches.In this realm,Mechatronics is not limited to electro-mechanical systems,in the multi-physics sense,but involves other physical domains such as fluid and thermal.This paper summarizes the mechatronic approach to modeling.Linear graphs facilitate the development of state-space models of mechatronic systems,through this approach.The use of linear graphs in mechatronic modeling is outlined and an illustrative example of sound system modeling is given.Both time-domain and frequency-domain approaches are presented for the use of linear graphs.A mechatronic model of a multi-physics system may be simplified by converting all the physical domains into an equivalent single-domain system that is entirely in the output domain of the system.This approach of converting(transforming)physical domains is presented.An illustrative example of a pressure-controlled hydraulic actuator system that operates a mechanical load is given. 展开更多
关键词 Mechatronic Modeling,Multi-physics Systems,Integrated,Unified,Unique and Systematic Approach Linear Graphs,Physical Domain Conversion/Transformation
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Multi-Physics Modeling of Solid Oxide Fuel Cell Fueled by Methane and Analysis of Carbon Deposition 认领 引用 被引量：2
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作者 Bao-xuan Wang Jiang Zhu Zi-jing Lin 《Chinese Journal of Chemical Physics》 SCIE EI CAS CSCD 2015年第3期299-307,I0001,共9页
Internal reformation of low steam methane fuel is important for the high efficiency and low cost operation of solid oxide fuel cell. Understanding and overcoming carbon deposition is crucial for the technology develop... Internal reformation of low steam methane fuel is important for the high efficiency and low cost operation of solid oxide fuel cell. Understanding and overcoming carbon deposition is crucial for the technology development. Here a multi-physics model is established for the relevant experimental cells. Balance of electrochemical potentials for the electrochemical reactions, generic rate expression for the methane steam reforming, dusty gas model in a form of Fick＇s model for anode gas transport are used in the model. Excellent agreement between the theoretical and experimental current-voltage relations is obtained, demonstrating the validity of the proposed theoretical model. The steam reaction order in low steam methane reforming reaction is found to be 1. Detailed information about the distributions of physical quantities is obtained by the numerical simulation. Carbon deposition is analyzed in detail and the mechanism for the coking inhibition by operating current is illustrated clearly. Two expressions of carbon activity are analyzed and found to be correct qualitatively, but not quantitatively. The role of anode diffusion layer on reducing the current threshold for carbon removal is also explained. It is noted that the current threshold reduction may be explained quantitatively with the carbon activity models that are only qualitatively correct. 展开更多
关键词 Numerical model Methane reforming kinetics Current-voltage relation Carbon activity Diffusion barrier layer
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Virtual Simulation Modeling and Validation of Traffic Measurement Equipment Based on Multi-Physical Field Coupling 认领 引用
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作者 Lin Zhou Jing Wang +3 位作者 Nan Wang Chi Zhang Zhongtian Jin Lucheng Wang 《Journal of Electronic Research and Application》 2026年第6期137-142,共6页
As the smart transportation system continues to evolve,the precise and stable operation of traffic measurement equipment directly determines the overall effectiveness of traffic data monitoring and system management.T... As the smart transportation system continues to evolve,the precise and stable operation of traffic measurement equipment directly determines the overall effectiveness of traffic data monitoring and system management.Traditional field tests are limited by specific operational scenarios,narrow coverage of driving conditions,high equipment wear and maintenance costs,and fail to meet the rigorous performance verification requirements under complex environments.This study integrates theories from mechanics,thermodynamics,and electromagnetism to establish a virtual simulation framework for traffic measurement equipment,enabling accurate replication of real-world operating conditions,conducting performance simulations,and facilitating continuous model refinement.This approach overcomes the limitations inherent in single-physical-field simulations.The outcomes provide robust digital support for equipment performance testing,structural optimization,and condition-specific calibration,thereby advancing the development and modernization of measurement systems in smart transportation applications. 展开更多
关键词 Multi-physics coupling Traffic measurement equipment Virtual simulation Modeling techniques Performance verification
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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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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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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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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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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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Element differential method for the multi-physics coupled contact analysis of high-temperature dynamic seal structure 认领 引用
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作者 Yong-Tong Zheng Wei-Long Fan +1 位作者 Xiao-Wei Gao Hua-Yu Liu 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第5期460-476,共17页
High-temperature dynamic seals are the structures used to seal movable clearances in high-temperature environments.The essential components of these seals are the fiber-braided seal strips.When it is working,the strip... High-temperature dynamic seals are the structures used to seal movable clearances in high-temperature environments.The essential components of these seals are the fiber-braided seal strips.When it is working,the strip is subjected to a transverse preload,decreasing its porosity and restricting gas flow to achieve sealing.To implement seal design,efficient numerical analysis is essential,which is supposed to involve the deformation,heat transfer,seepage,and the interactions among these physical processes.In this paper,a nonlinear thermal-mechanics-seepage coupled contact model is used to describe the seal strips with circular sections.An element differential scheme is proposed to solve the coupled governing equations,and an iterative procedure based on the element differential method(EDM)tracks the contact interfaces,which further determines the range of boundary conditions of other physical fields.The proposed method simplifies the computation by avoiding integral evaluations and reducing matrix density.Two examples are implemented to verify the correctness of the proposed scheme and to predict the variations in physical variables of the seal structures.Furthermore,a comparison between the EDM and finite element method results indicates that the EDM is more efficient because of fewer contact iterations and a sparser coefficient matrix. 展开更多
关键词 Element differential method High-temperature dynamic seals Multi-physics coupled analysis Strong-form scheme
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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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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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Computational technology and strategy for largescale high-accuracy gravity modeling 认领 引用
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作者 Wang Shuai Zhao Guo-Feng +1 位作者 Qiu Long-Jun Chen Zhao-Xi 《Applied Geophysics》 SCIE CSCD 2026年第2期843-854,873,共12页
The modeling and inversion of the large-scale gravity fi eld is the basis for exploring the density structure and geodynamics of the deep Earth.For this reason,the realization of fast,large-scale gravity modeling has ... The modeling and inversion of the large-scale gravity fi eld is the basis for exploring the density structure and geodynamics of the deep Earth.For this reason,the realization of fast,large-scale gravity modeling has been a hot topic in recent years.By integrating horizontal adaptive subdivision and the radial extension technique,this paper investigates the combination of computational technology and strategy with the goal of enhancing the accuracy and effi ciency of large-scale gravity modeling.This study also employs the computational strategy that combines mixed-resolution digital elevation models with the above techniques.This strategy signifi cantly improves effi ciency without compromising accuracy.The computational technology and strategy proposed in this paper provide a novel approach for facilitating high-accuracy gravity modeling on a large scale. 展开更多
关键词 gravity modeling horizontal adaptive subdivision radial extension technique mixed-resolution digital elevation models
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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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Continuum modeling for layer jamming structures 认领 引用
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作者 Shuai Zhang Jiantao Yao +1 位作者 Shizeng Li Xinbo Chen 《Theoretical & Applied Mechanics Letters》 EI CAS CSCD 2026年第1期77-85,共9页
Layer jamming structures(LJS)are a class of variable stiffness structures that are valuable for adaptive and soft robotic systems.However,existing models for LJS often rely on discrete approximations or are tailored t... Layer jamming structures(LJS)are a class of variable stiffness structures that are valuable for adaptive and soft robotic systems.However,existing models for LJS often rely on discrete approximations or are tailored to specific configurations,limiting their generalizability and computational efficiency.In this study,we propose a contin-uum elastoplastic constitutive model for LJS based on the average-field technique.The model captures both the jamming(no interlayer slipping)and slipping states of LJS,enabling analytical expressions for yield criteria,and dissipated energy density.Finite element simulations in Abaqus incorporating periodic boundary conditions were conducted to validate the theoretical model under various deformation scenarios,including uniaxial shear,multi-directional shear,and coupled shear-normal loading.The results demonstrate strong agreement between numerical and theoretical predictions,effectively capturing the nonlinear transitions in stiffness and energy evo-lution.This continuum framework offers a unified,scalable tool for modeling the mechanical behavior of LJS and supports the design and optimization of stiffness-tunable systems in soft robotics and beyond. 展开更多
关键词 Layer jamming structure Continuum modeling Elastoplastic constitutive
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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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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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