Pub Date : 2026-05-01Epub Date: 2026-01-22DOI: 10.1016/j.euromechsol.2026.106037
Xiaosong Hu , Lei Wang , Qingsen Hu
Aiming at the problem of changes in the dynamic characteristics of the gear pair caused by crack propagation under the action of the coupling effect of the inter-tooth structure, a new analytical model for the stiffness of cracked teeth based on the potential energy method is proposed. The model analyses the difference in influence caused by the location of crack propagation and the degree of deterioration. Then an improved cracked gear pair dynamics model is established by integrating the crack and coupling effects. The dynamic characteristics of the gear system under the interaction of crack and structural coupling effects are revealed. The computational results are compared with the existing model and verified by finite element results. The results show that the structural coupling effect transforms the dynamic behaviour of the system and the change in the tooth load bearing region caused by crack propagation cannot be ignored. The proposed model provides more accurate mesh stiffness calculation and dynamic simulation, which provides a theoretical basis and valuable reference for the dynamic simulation and fault diagnosis of cracked gear systems.
{"title":"Analysis of dynamic response of cracked gear system with structural coupling effect","authors":"Xiaosong Hu , Lei Wang , Qingsen Hu","doi":"10.1016/j.euromechsol.2026.106037","DOIUrl":"10.1016/j.euromechsol.2026.106037","url":null,"abstract":"<div><div>Aiming at the problem of changes in the dynamic characteristics of the gear pair caused by crack propagation under the action of the coupling effect of the inter-tooth structure, a new analytical model for the stiffness of cracked teeth based on the potential energy method is proposed. The model analyses the difference in influence caused by the location of crack propagation and the degree of deterioration. Then an improved cracked gear pair dynamics model is established by integrating the crack and coupling effects. The dynamic characteristics of the gear system under the interaction of crack and structural coupling effects are revealed. The computational results are compared with the existing model and verified by finite element results. The results show that the structural coupling effect transforms the dynamic behaviour of the system and the change in the tooth load bearing region caused by crack propagation cannot be ignored. The proposed model provides more accurate mesh stiffness calculation and dynamic simulation, which provides a theoretical basis and valuable reference for the dynamic simulation and fault diagnosis of cracked gear systems.</div></div>","PeriodicalId":50483,"journal":{"name":"European Journal of Mechanics A-Solids","volume":"117 ","pages":"Article 106037"},"PeriodicalIF":4.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-05-01Epub Date: 2026-01-08DOI: 10.1016/j.euromechsol.2026.106022
Daifeng Yang , Jianbo Chen , Yining Zhang , Perk Lin Chong , Eric Li
This study extends our previous research on the cactus stem-inspired bionic multi-cell tube (CSBMT) by conducting a deeper investigation aimed at further enhancing its crashworthiness performance. Finite element analysis (FEA) was employed to investigate the energy absorption performance of CSBMT under varying geometric parameters, including the number of corners (N), inner diameter (Di), and outer angle (β). Additional analyses examined the influence of oblique loading (0°–30°) and gradient wall thickness distributions (n = 0.2–5.0). The results indicate that increasing N and Di significantly improves the specific energy absorption (SEA), while a larger β and smaller n enhance load uniformity and deformation stability. Compared with the baseline configuration, the optimal design achieved a 74.9 % improvement in SEA. Compared with 16 classical thin-walled energy-absorbing structures, the CSBMT exhibited superior energy absorption and load-bearing capacity under 20° oblique loading. Furthermore, a multi-objective structural optimization of the CSBMT was performed using the Non-dominated Sorting Genetic Algorithm II (NSGA-II), and a compromise solution was identified based on the minimum distance criterion. The optimized structure exhibited a well-balanced performance between energy absorption efficiency and peak load control. The findings provide valuable insights for the design of bio-inspired energy-absorbing structures in crashworthiness applications.
{"title":"Parametric and multi-objective optimization analysis of cactus stem-inspired bionic multi-cell tubes for enhanced crashworthiness","authors":"Daifeng Yang , Jianbo Chen , Yining Zhang , Perk Lin Chong , Eric Li","doi":"10.1016/j.euromechsol.2026.106022","DOIUrl":"10.1016/j.euromechsol.2026.106022","url":null,"abstract":"<div><div>This study extends our previous research on the cactus stem-inspired bionic multi-cell tube (CSBMT) by conducting a deeper investigation aimed at further enhancing its crashworthiness performance. Finite element analysis (FEA) was employed to investigate the energy absorption performance of CSBMT under varying geometric parameters, including the number of corners (<em>N</em>), inner diameter (<em>D</em><sub><em>i</em></sub>), and outer angle (<em>β</em>). Additional analyses examined the influence of oblique loading (0°–30°) and gradient wall thickness distributions (<em>n</em> = 0.2–5.0). The results indicate that increasing <em>N</em> and <em>D</em><sub><em>i</em></sub> significantly improves the specific energy absorption (SEA), while a larger <em>β</em> and smaller <em>n</em> enhance load uniformity and deformation stability. Compared with the baseline configuration, the optimal design achieved a 74.9 % improvement in SEA. Compared with 16 classical thin-walled energy-absorbing structures, the CSBMT exhibited superior energy absorption and load-bearing capacity under 20° oblique loading. Furthermore, a multi-objective structural optimization of the CSBMT was performed using the Non-dominated Sorting Genetic Algorithm II (NSGA-II), and a compromise solution was identified based on the minimum distance criterion. The optimized structure exhibited a well-balanced performance between energy absorption efficiency and peak load control. The findings provide valuable insights for the design of bio-inspired energy-absorbing structures in crashworthiness applications.</div></div>","PeriodicalId":50483,"journal":{"name":"European Journal of Mechanics A-Solids","volume":"117 ","pages":"Article 106022"},"PeriodicalIF":4.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-05-01Epub Date: 2025-12-24DOI: 10.1016/j.euromechsol.2025.105988
Mattia Serpelloni , Alberto Salvadori , Luigi Cabras
Climate change pivots on shifting to renewable energy sources and to reliable, readily available energy storage systems; at present, lithium-ion batteries (LiBs) are the most advanced industrial technology. Great efforts towards novel materials are underway to overcome well known safety concerns in conventional liquid electrolytes. Gel polymer electrolytes (GPEs) are promising candidates. They are composed of a fluid mixture that fills the interstitial spaces in a solid polymer network. The confined liquid boosts the conductivity and improves the surface contact with electrodes. We devise a multiphysics model for GPEs, framed in the finite-strains thermo-mechanics of continua. It accounts for the electro-chemistry, transport, and mechanics of energy storage. Predictive science is achieved through simulations of the transport and chemical interactions of solvent and ions during material advection. Insightful information on the behavior of GPE during charge–discharge of (Li-ion) batteries are attained.
{"title":"A finite-strain chemo-electro-mechanical model for gel polymer electrolytes with dynamic ion exchange between fluid and polymer phases","authors":"Mattia Serpelloni , Alberto Salvadori , Luigi Cabras","doi":"10.1016/j.euromechsol.2025.105988","DOIUrl":"10.1016/j.euromechsol.2025.105988","url":null,"abstract":"<div><div>Climate change pivots on shifting to renewable energy sources and to reliable, readily available energy storage systems; at present, lithium-ion batteries (LiBs) are the most advanced industrial technology. Great efforts towards novel materials are underway to overcome well known safety concerns in conventional liquid electrolytes. Gel polymer electrolytes (GPEs) are promising candidates. They are composed of a fluid mixture that fills the interstitial spaces in a solid polymer network. The confined liquid boosts the conductivity and improves the surface contact with electrodes. We devise a multiphysics model for GPEs, framed in the finite-strains thermo-mechanics of continua. It accounts for the electro-chemistry, transport, and mechanics of energy storage. Predictive science is achieved through simulations of the transport and chemical interactions of solvent and ions during material advection. Insightful information on the behavior of GPE during charge–discharge of (Li-ion) batteries are attained.</div></div>","PeriodicalId":50483,"journal":{"name":"European Journal of Mechanics A-Solids","volume":"117 ","pages":"Article 105988"},"PeriodicalIF":4.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-05-01Epub Date: 2025-11-28DOI: 10.1016/j.euromechsol.2025.105963
Julen Cortazar-Noguerol, Fernando Cortés, María Jesús Elejabarrieta
This study investigates how the sample shape factor influences the dynamic properties characterization of a silicone rubber within the linear viscoelastic regime. The effective elastic properties of elastomers are known to depend on geometry, but the effect of shape factor on the dynamic response has not been systematically characterized. To address this, cylindrical samples with varying geometries are tested under dynamic compression and torsion. The results reveal that both the complex compressive and shear moduli are affected by shape factor, and that this influence varies with frequency. To quantify the influence of shape factor and extract the material's dynamic properties, a phenomenological correction model is formulated. The model introduces frequency-dependent parameters that account for the geometric effects on the effective moduli. These corrected moduli yield a complex Poisson's ratio that exhibits a slight frequency dependence, with a decreasing real part and an increasing loss factor. This approach enables both the quantification of geometry-induced effects in dynamic mechanical testing and the extraction of intrinsic material's viscoelastic properties.
{"title":"Influence of the sample shape factor on the dynamic characterization of viscoelastic properties: complex moduli and Poisson's ratio","authors":"Julen Cortazar-Noguerol, Fernando Cortés, María Jesús Elejabarrieta","doi":"10.1016/j.euromechsol.2025.105963","DOIUrl":"10.1016/j.euromechsol.2025.105963","url":null,"abstract":"<div><div>This study investigates how the sample shape factor influences the dynamic properties characterization of a silicone rubber within the linear viscoelastic regime. The effective elastic properties of elastomers are known to depend on geometry, but the effect of shape factor on the dynamic response has not been systematically characterized. To address this, cylindrical samples with varying geometries are tested under dynamic compression and torsion. The results reveal that both the complex compressive and shear moduli are affected by shape factor, and that this influence varies with frequency. To quantify the influence of shape factor and extract the material's dynamic properties, a phenomenological correction model is formulated. The model introduces frequency-dependent parameters that account for the geometric effects on the effective moduli. These corrected moduli yield a complex Poisson's ratio that exhibits a slight frequency dependence, with a decreasing real part and an increasing loss factor. This approach enables both the quantification of geometry-induced effects in dynamic mechanical testing and the extraction of intrinsic material's viscoelastic properties.</div></div>","PeriodicalId":50483,"journal":{"name":"European Journal of Mechanics A-Solids","volume":"117 ","pages":"Article 105963"},"PeriodicalIF":4.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145694500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-05-01Epub Date: 2025-11-30DOI: 10.1016/j.euromechsol.2025.105971
Du Chaofan , Xu Ningning , Li Liang , Yu Chuanbin , Zhang Dingguo
This study investigates the dynamic characteristics of rotating functionally graded material (FGM) micro-beams operating in a thermal environment, incorporating size effects, A high-order coupled dynamic model is established based on the modified couple stress theory. The formulation explicitly accounts for axial shortening induced by lateral deformation (nonlinear coupling deformation term) and employs the point interpolation method (PIM) and radial point interpolation method (RPIM) to discretize the deformation field of flexible micro-beams. Lagrange's equation of the second kind provides the governing equations. The influences of critical parameters including temperature field, rotational velocity profiles, the FGM gradient index, and size dependence are quantitatively examined. The simulation results demonstrate that thermal environment and size effect exert significant, non-negligible in influences on the dynamic analysis of FGM micro-beams. Furthermore, this study confirms the efficacy of meshless methods specifically PIM and RPIM, highlighting their potential for extension to rigid-flexible-thermal coupled multi-body system dynamics.
{"title":"Dynamic analysis of a hub-FGM micro-beam based on meshless method in thermal environment","authors":"Du Chaofan , Xu Ningning , Li Liang , Yu Chuanbin , Zhang Dingguo","doi":"10.1016/j.euromechsol.2025.105971","DOIUrl":"10.1016/j.euromechsol.2025.105971","url":null,"abstract":"<div><div>This study investigates the dynamic characteristics of rotating functionally graded material (FGM) micro-beams operating in a thermal environment, incorporating size effects, A high-order coupled dynamic model is established based on the modified couple stress theory. The formulation explicitly accounts for axial shortening induced by lateral deformation (nonlinear coupling deformation term) and employs the point interpolation method (PIM) and radial point interpolation method (RPIM) to discretize the deformation field of flexible micro-beams. Lagrange's equation of the second kind provides the governing equations. The influences of critical parameters including temperature field, rotational velocity profiles, the FGM gradient index, and size dependence are quantitatively examined. The simulation results demonstrate that thermal environment and size effect exert significant, non-negligible in influences on the dynamic analysis of FGM micro-beams. Furthermore, this study confirms the efficacy of meshless methods specifically PIM and RPIM, highlighting their potential for extension to rigid-flexible-thermal coupled multi-body system dynamics.</div></div>","PeriodicalId":50483,"journal":{"name":"European Journal of Mechanics A-Solids","volume":"117 ","pages":"Article 105971"},"PeriodicalIF":4.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145694497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-05-01Epub Date: 2025-12-31DOI: 10.1016/j.euromechsol.2025.106013
Ons Lahbib, Nadia Massé, Ali El Hafidi, Philippe Leclaire
Natural fiber-reinforced composite materials offer a sustainable and eco-friendly alternative to traditional composites in various sectors. For these materials, it is essential to develop new methods for characterizing and detecting internal defects and damages. This study aims to detect and locate damage in natural fiber-reinforced composite materials, specifically flax/epoxy beams and plates, which exhibit lower elastic moduli and higher damping compared to traditional composites. A new indicator based on vibrational modal curvature shapes and taking into account damping factor was employed to identify invisible low-energy impact damage and delamination. Experimental vibration tests on cantilever flax fiber composite beams validated the method's effectiveness. The results show that the method can detect and localize hidden damage, with damage in flax/epoxy composites remaining generally more confined, whereas in carbon/epoxy composites it tends to spread over a larger area.
{"title":"Damage detection in natural fiber composites using vibrational analysis and a curvature-based indicator","authors":"Ons Lahbib, Nadia Massé, Ali El Hafidi, Philippe Leclaire","doi":"10.1016/j.euromechsol.2025.106013","DOIUrl":"10.1016/j.euromechsol.2025.106013","url":null,"abstract":"<div><div>Natural fiber-reinforced composite materials offer a sustainable and eco-friendly alternative to traditional composites in various sectors. For these materials, it is essential to develop new methods for characterizing and detecting internal defects and damages. This study aims to detect and locate damage in natural fiber-reinforced composite materials, specifically flax/epoxy beams and plates, which exhibit lower elastic moduli and higher damping compared to traditional composites. A new indicator based on vibrational modal curvature shapes and taking into account damping factor was employed to identify invisible low-energy impact damage and delamination. Experimental vibration tests on cantilever flax fiber composite beams validated the method's effectiveness. The results show that the method can detect and localize hidden damage, with damage in flax/epoxy composites remaining generally more confined, whereas in carbon/epoxy composites it tends to spread over a larger area.</div></div>","PeriodicalId":50483,"journal":{"name":"European Journal of Mechanics A-Solids","volume":"117 ","pages":"Article 106013"},"PeriodicalIF":4.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-05-01Epub Date: 2025-12-20DOI: 10.1016/j.euromechsol.2025.106004
Éléonore Bourdier, Sophie Dartois, Rémi Cornaggia, Renald Brenner
This article addresses the estimation of local field statistics and effective properties of highly filled particulate composites. With this aim in view, use is made of the differential scheme in its incremental form. In this framework, accounting for the successive homogenization steps characteristic of the incremental process, we derive the expressions of first- and second-order moments of intraphase strain fields. For first-order moments, this involves the calculation of the localization tensors for each phase at each step. For the second-order moments, the approach relies on the application of the chain derivation rule throughout the process, making it possible to express the derivatives of the final effective properties as a function of the initial properties of the phases. These expressions have been validated by comparison with available analytical solution for isotropic porous media. Besides, more general microstructures have been considered with phases exhibiting high mechanical contrasts and for a wide range of volume fractions. The numerical results on local field statistics have been compared to other mean-field homogenization schemes, such as the Mori–Tanaka and Lielens models, as well as to full-field simulations on representative microstructures. These comparisons confirm the relevance of the proposed approach in the context of highly inclusionary media.
{"title":"Estimation of local field statistics in highly filled composites based on an incremental mean-field homogenization scheme","authors":"Éléonore Bourdier, Sophie Dartois, Rémi Cornaggia, Renald Brenner","doi":"10.1016/j.euromechsol.2025.106004","DOIUrl":"10.1016/j.euromechsol.2025.106004","url":null,"abstract":"<div><div>This article addresses the estimation of local field statistics and effective properties of highly filled particulate composites. With this aim in view, use is made of the differential scheme in its incremental form. In this framework, accounting for the successive homogenization steps characteristic of the incremental process, we derive the expressions of first- and second-order moments of intraphase strain fields. For first-order moments, this involves the calculation of the localization tensors for each phase at each step. For the second-order moments, the approach relies on the application of the chain derivation rule throughout the process, making it possible to express the derivatives of the final effective properties as a function of the initial properties of the phases. These expressions have been validated by comparison with available analytical solution for isotropic porous media. Besides, more general microstructures have been considered with phases exhibiting high mechanical contrasts and for a wide range of volume fractions. The numerical results on local field statistics have been compared to other mean-field homogenization schemes, such as the Mori–Tanaka and Lielens models, as well as to full-field simulations on representative microstructures. These comparisons confirm the relevance of the proposed approach in the context of highly inclusionary media.</div></div>","PeriodicalId":50483,"journal":{"name":"European Journal of Mechanics A-Solids","volume":"117 ","pages":"Article 106004"},"PeriodicalIF":4.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-05-01Epub Date: 2026-01-12DOI: 10.1016/j.euromechsol.2026.106015
Leon Riccius , Iuri B.C.M. Rocha , Joris Bierkens , Hanne Kekkonen , Frans P. van der Meer
Recent advancements in Markov chain Monte Carlo (MCMC) sampling and surrogate modelling have significantly enhanced the feasibility of Bayesian analysis across engineering fields. However, the selection and integration of surrogate models and cutting-edge MCMC algorithms, often depend on ad-hoc decisions. A systematic assessment of their combined influence on accuracy and efficiency is notably lacking. The present work offers a comprehensive comparative study, employing a scalable case study in computational mechanics focused on the inference of spatially varying material parameters, that sheds light on the impact of methodological choices for surrogate modelling and sampling. We show that a priori training of the surrogate model introduces large errors in the posterior estimation even in low to moderate dimensions. We introduce a simple active learning strategy based on the path of the MCMC algorithm that is superior to all a priori trained models, and determine its training data requirements. We demonstrate that the choice of the MCMC algorithm has only a small influence on the amount of training data but no significant influence on the accuracy of the resulting surrogate model. Further, we show that the accuracy of the posterior estimation largely depends on the surrogate model, but not even a tailored surrogate guarantees convergence of the MCMC. Finally, we identify the forward model as the bottleneck in the inference process, not the MCMC algorithm. While related works focus on employing advanced MCMC algorithms, we demonstrate that the training data requirements render the surrogate modelling approach infeasible before the benefits of these gradient-based MCMC algorithms on cheap models can be reaped.
{"title":"Integration of active learning and MCMC sampling for efficient Bayesian calibration of mechanical properties","authors":"Leon Riccius , Iuri B.C.M. Rocha , Joris Bierkens , Hanne Kekkonen , Frans P. van der Meer","doi":"10.1016/j.euromechsol.2026.106015","DOIUrl":"10.1016/j.euromechsol.2026.106015","url":null,"abstract":"<div><div>Recent advancements in Markov chain Monte Carlo (MCMC) sampling and surrogate modelling have significantly enhanced the feasibility of Bayesian analysis across engineering fields. However, the selection and integration of surrogate models and cutting-edge MCMC algorithms, often depend on ad-hoc decisions. A systematic assessment of their combined influence on accuracy and efficiency is notably lacking. The present work offers a comprehensive comparative study, employing a scalable case study in computational mechanics focused on the inference of spatially varying material parameters, that sheds light on the impact of methodological choices for surrogate modelling and sampling. We show that a priori training of the surrogate model introduces large errors in the posterior estimation even in low to moderate dimensions. We introduce a simple active learning strategy based on the path of the MCMC algorithm that is superior to all a priori trained models, and determine its training data requirements. We demonstrate that the choice of the MCMC algorithm has only a small influence on the amount of training data but no significant influence on the accuracy of the resulting surrogate model. Further, we show that the accuracy of the posterior estimation largely depends on the surrogate model, but not even a tailored surrogate guarantees convergence of the MCMC. Finally, we identify the forward model as the bottleneck in the inference process, not the MCMC algorithm. While related works focus on employing advanced MCMC algorithms, we demonstrate that the training data requirements render the surrogate modelling approach infeasible before the benefits of these gradient-based MCMC algorithms on cheap models can be reaped.</div></div>","PeriodicalId":50483,"journal":{"name":"European Journal of Mechanics A-Solids","volume":"117 ","pages":"Article 106015"},"PeriodicalIF":4.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-05-01Epub Date: 2026-01-21DOI: 10.1016/j.euromechsol.2026.106034
Bhaskar Anupam, Keshav Purviya, Ankur Miglani, Aman Khurana
Dielectric elastomer minimum energy structures (DEMES) have gained significant attention for their ability to switch between multiple equilibrium states. These structures are formed when a pre-stretched elastomer film adheres to an inextensible frame and achieves equilibrium through energy minimization. Traditional methods for analyzing DEMES mechanics-numerical, theoretical, and experimental are often labor-intensive and time-consuming. This paper introduces the application of artificial neural network (ANN) techniques to predict the behavior of DEMES-based actuators efficiently. Using the Levenberg–Marquardt and Bayesian Regularization algorithms, the performance of two prototypes: the four-arm gripper and the flapping-wing actuator previously studied experimentally and numerically in Khurana et al. (2024a), is predicted. The ANN-based approach demonstrates excellent agreement with the numerical results while significantly reducing computation time. This study highlights the potential of ANN techniques as a fast and reliable tool for the parametric evaluation of DEMES structures, streamlining the design and analysis process. Future applications of DEMES, enhanced by ANN-based predictive models, include the development of adaptive soft robotics, bio-inspired actuators, and energy-efficient morphing structures. These advancements could lead to intelligent material systems with real-time control capabilities for biomedical devices, aerospace engineering, and wearable technologies.
{"title":"Designing the futuristic dielectric elastomer minimum energy structures using artificial neural networks (ANN)","authors":"Bhaskar Anupam, Keshav Purviya, Ankur Miglani, Aman Khurana","doi":"10.1016/j.euromechsol.2026.106034","DOIUrl":"10.1016/j.euromechsol.2026.106034","url":null,"abstract":"<div><div>Dielectric elastomer minimum energy structures (DEMES) have gained significant attention for their ability to switch between multiple equilibrium states. These structures are formed when a pre-stretched elastomer film adheres to an inextensible frame and achieves equilibrium through energy minimization. Traditional methods for analyzing DEMES mechanics-numerical, theoretical, and experimental are often labor-intensive and time-consuming. This paper introduces the application of artificial neural network (ANN) techniques to predict the behavior of DEMES-based actuators efficiently. Using the Levenberg–Marquardt and Bayesian Regularization algorithms, the performance of two prototypes: the four-arm gripper and the flapping-wing actuator previously studied experimentally and numerically in <span><span>Khurana et al. (2024a)</span></span>, is predicted. The ANN-based approach demonstrates excellent agreement with the numerical results while significantly reducing computation time. This study highlights the potential of ANN techniques as a fast and reliable tool for the parametric evaluation of DEMES structures, streamlining the design and analysis process. Future applications of DEMES, enhanced by ANN-based predictive models, include the development of adaptive soft robotics, bio-inspired actuators, and energy-efficient morphing structures. These advancements could lead to intelligent material systems with real-time control capabilities for biomedical devices, aerospace engineering, and wearable technologies.</div></div>","PeriodicalId":50483,"journal":{"name":"European Journal of Mechanics A-Solids","volume":"117 ","pages":"Article 106034"},"PeriodicalIF":4.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-05-01Epub Date: 2026-01-21DOI: 10.1016/j.euromechsol.2026.106035
Alice Kutsyy , Adeline Wihardja , Victoria Lee , Kaushik Bhattacharya
Nematic elastomers are a particular class of liquid crystal elastomers (LCEs) that exhibit both liquid-crystalline order and rubber (entropic) elasticity. This combination makes them stimuli-responsive soft materials with a number of unusual thermo-mechanical properties. They have been proposed for various applications, including soft robotics, enhanced adhesion, and impact resistance. This paper presents a new experimental setup and a comprehensive dataset characterizing the soft behavior of nematic elastomers over a range of temperatures and strain rates. We also fit the results to a recently developed model of nematic elastomers (Lee et al., 2023).
向列弹性体是一类特殊的液晶弹性体（LCEs），它同时具有液晶有序和橡胶（熵）弹性。这种组合使它们成为具有许多不寻常的热机械性能的刺激响应软材料。它们已被提出用于各种应用，包括软机器人，增强附着力和抗冲击性。本文提出了一个新的实验装置和一个全面的数据集，表征了向列弹性体在一系列温度和应变速率下的软行为。我们还将结果拟合到最近开发的向列弹性体模型（Lee et al., 2023）。
{"title":"Characterization of the soft behavior of nematic elastomers over a range of temperature and strain rates","authors":"Alice Kutsyy , Adeline Wihardja , Victoria Lee , Kaushik Bhattacharya","doi":"10.1016/j.euromechsol.2026.106035","DOIUrl":"10.1016/j.euromechsol.2026.106035","url":null,"abstract":"<div><div>Nematic elastomers are a particular class of liquid crystal elastomers (LCEs) that exhibit both liquid-crystalline order and rubber (entropic) elasticity. This combination makes them stimuli-responsive soft materials with a number of unusual thermo-mechanical properties. They have been proposed for various applications, including soft robotics, enhanced adhesion, and impact resistance. This paper presents a new experimental setup and a comprehensive dataset characterizing the soft behavior of nematic elastomers over a range of temperatures and strain rates. We also fit the results to a recently developed model of nematic elastomers (<span><span>Lee et al., 2023</span></span>).</div></div>","PeriodicalId":50483,"journal":{"name":"European Journal of Mechanics A-Solids","volume":"117 ","pages":"Article 106035"},"PeriodicalIF":4.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号