Composite Structures最新文献

筛选
英文 中文
Stress-gradient model for tensile damage in orthotropic materials 正交异性材料拉伸损伤的应力梯度模型
IF 7.1 2区 材料科学
Composite Structures Pub Date : 2025-09-22 DOI: 10.1016/j.compstruct.2025.119674
Franziska Seeber , Ani Khaloian-Sarnaghi , Elena Benvenuti , Fabian Duddeck , Jan-Willem van de Kuilen
{"title":"Stress-gradient model for tensile damage in orthotropic materials","authors":"Franziska Seeber ,&nbsp;Ani Khaloian-Sarnaghi ,&nbsp;Elena Benvenuti ,&nbsp;Fabian Duddeck ,&nbsp;Jan-Willem van de Kuilen","doi":"10.1016/j.compstruct.2025.119674","DOIUrl":"10.1016/j.compstruct.2025.119674","url":null,"abstract":"<div><div>Reliable finite element simulation of orthotropic-dependent failure mechanisms is crucial for understanding the mechanical behavior and optimizing engineered composites and fiber-based materials. Such materials behave brittle under tension and strongly depend on the orthotropic material orientation. Existing non-local models can reproduce brittle fracture for isotropic materials but, in most cases, they are based on the equivalent strain concept for damage initiation, which is unsuitable for orthotropic materials. This contribution introduces a stress-based non-local damage model enhanced with an implicit gradient formulation of the failure criteria. A localizing non-local length is assumed to avoid any pathological broadening of the damage band. The methodology introduces direction-dependent damage variables driven by non-local stress-based damage criteria and can thus distinguish different failure modes. The verification and validation are shown on numerical and experimental benchmark examples. The implicit gradient-based non-local damage approach allows mesh-independent results. Furthermore, it does not require a priori known crack paths and makes it possible to simulate complex failure modes. Perspectively, its effective implementation in the commercial software Abaqus and combination with other constitutive laws, e.g. to account for plasticity or moisture, make it an attractive tool for describing the mechanical material behavior of orthotropic materials, such as wood and fiber-composites.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"373 ","pages":"Article 119674"},"PeriodicalIF":7.1,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145227055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Progressive damage analysis of open-hole CFRP laminates under combined tension-shear loading 开孔CFRP复合材料在拉剪复合荷载下的渐进损伤分析
IF 7.1 2区 材料科学
Composite Structures Pub Date : 2025-09-22 DOI: 10.1016/j.compstruct.2025.119676
Mahesh P. , Viswanath Chinthapenta , Gangadharan Raju , Ramji M.
{"title":"Progressive damage analysis of open-hole CFRP laminates under combined tension-shear loading","authors":"Mahesh P. ,&nbsp;Viswanath Chinthapenta ,&nbsp;Gangadharan Raju ,&nbsp;Ramji M.","doi":"10.1016/j.compstruct.2025.119676","DOIUrl":"10.1016/j.compstruct.2025.119676","url":null,"abstract":"<div><div>Progressive damage and strength analysis in an open-hole tension test is crucial in designing carbon fiber-reinforced polymer (CFRP) composites. In practical applications, loading is of multi-axial in nature, making the damage process more complex in CFRP structures. This work proposes a generic continuum damage mechanics-based 3D progressive damage model incorporating the LaRC05 failure criteria. The proposed formulation, coupled with cohesive surface modeling, is benchmarked against existing open-hole CFRP laminate test results under a combined tension-shear loading scenario. Later, the effect of laminate layup on the strength, damage initiation, and evolution is studied by considering two types of QI, a 0°, and 45°dominated layups. As observed in the experimental studies, the proposed model can predict distinct dominant failure mechanisms and also the critical loading angle at which the failure mechanism switches from one to another. Further, in case of a combined loading, the damage modes, such as fiber kinking and the extent of fiber splitting, dominate the failure, which is well-captured by the proposed model. Further, it is able to predict the failure strengths accurately for all combined loading scenarios and laminate types with a maximum error of 14.7%, which confirms the robustness and accuracy of the proposed model.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"373 ","pages":"Article 119676"},"PeriodicalIF":7.1,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145118104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Manufacture, process simulation, modelling and testing of thick-walled thermoset fibre-polymer composite laminates — A review 厚壁热固性纤维聚合物复合层压板的制造、工艺模拟、建模和试验。综述
IF 7.1 2区 材料科学
Composite Structures Pub Date : 2025-09-22 DOI: 10.1016/j.compstruct.2025.119678
Richard Protz , Eckart Kunze , Tim Luplow , Linus Littner , Jonas Drummer , Sebastian Heimbs , Marc Kreutzbruck , Bodo Fiedler , Maik Gude
{"title":"Manufacture, process simulation, modelling and testing of thick-walled thermoset fibre-polymer composite laminates — A review","authors":"Richard Protz ,&nbsp;Eckart Kunze ,&nbsp;Tim Luplow ,&nbsp;Linus Littner ,&nbsp;Jonas Drummer ,&nbsp;Sebastian Heimbs ,&nbsp;Marc Kreutzbruck ,&nbsp;Bodo Fiedler ,&nbsp;Maik Gude","doi":"10.1016/j.compstruct.2025.119678","DOIUrl":"10.1016/j.compstruct.2025.119678","url":null,"abstract":"<div><div>Thick-walled thermoset fibre-reinforced polymer (FRP) composites present unique challenges across their manufacturing, simulation, modelling, and testing processes. This paper provides a comprehensive overview of the current challenges and research needs associated with thick-walled FRP, particularly in light of their growing relevance in demanding application domains, such as wind energy. It is important to emphasise that the designation of a laminate as thick-walled is determined not solely by its nominal thickness, but also by the direction of the applied load. In particular, laminates subjected to compressive loading are typically considered thick-walled from a wall thickness of 4 mm or greater. While conventional manufacturing techniques remain applicable to thick-walled FRPs, process adaptations, such as adjusted curing cycles or alternative curing methods, are necessary to mitigate manufacturing defects, e.g. residual stresses induced by inhomogeneous curing due to local temperature overshoot. Modelling of the curing process and accurate prediction of residual stress development remain key areas of ongoing research with significant gaps in understanding. The influence of the wall thickness can also be seen in quasi-static and impact tests. Self-heating must be taken into account in fatigue tests and must be incorporated into future guidelines for the design of thick-walled FRP structures. While well-established non-destructive testing (NDT) techniques are generally applicable, their effectiveness is reduced with increasing laminate thickness due to limitations in resolution. The findings underscore the need for continued interdisciplinary efforts to refine processing and evaluation methods for thick-walled FRP composites.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"373 ","pages":"Article 119678"},"PeriodicalIF":7.1,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145118105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Data-driven failure criteria prediction in composite wing boxes using machine learning 基于机器学习的复合材料翼盒数据驱动故障准则预测
IF 7.1 2区 材料科学
Composite Structures Pub Date : 2025-09-22 DOI: 10.1016/j.compstruct.2025.119675
Dario Magliacano , Vincenza Tufano , Annalisa Letizia , Bernardo Sessa , Matteo Filippi
{"title":"Data-driven failure criteria prediction in composite wing boxes using machine learning","authors":"Dario Magliacano ,&nbsp;Vincenza Tufano ,&nbsp;Annalisa Letizia ,&nbsp;Bernardo Sessa ,&nbsp;Matteo Filippi","doi":"10.1016/j.compstruct.2025.119675","DOIUrl":"10.1016/j.compstruct.2025.119675","url":null,"abstract":"<div><div>Modern transport aircraft exploit composite wing-box architectures to maximize strength-to-weight efficiency, yet the through-thickness damage states that govern air-worthiness remain difficult to quantify by closed-form analysis. A fully labeled benchmark data set, comprising 1017 finite-element (FE) simulations of a Cirrus-class carbon-fiber wing-box (nine undamaged cases plus 1008 damage scenarios obtained by combining 28 intralaminar damage locations with four severity levels for each of nine orthotropic materials) is therefore generated. Five classical failure criteria (Max-Stress, Tsai–Wu, Tsai–Hill, Hashin and Christensen) are evaluated at the most-stressed element and adopted as supervised-learning targets. Two regression surrogates, Random Forest (RF) ensembles and Support Vector Regression (SVR), are trained on the material-property vector and damage descriptors. A material-wise leave-one-out (LOO) cross-validation strategy demonstrates that the RF model attains a root-mean-square error RMSE <span><math><mo>=</mo></math></span> 0.076 for the Hashin index, while preserving RMSE <span><math><mo>≤</mo></math></span> 0.15 on the Max-Stress index. The resulting RF surrogate furnishes near-instant predictions of composite failure indices and provides a reliable machine-learning benchmark for operational wing-box health assessment.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"373 ","pages":"Article 119675"},"PeriodicalIF":7.1,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Intelligent force sensing separator for integrated lithium-ion battery safety monitoring 用于锂离子电池安全监测的智能力感分离器
IF 7.1 2区 材料科学
Composite Structures Pub Date : 2025-09-20 DOI: 10.1016/j.compstruct.2025.119660
Yuewen Wang , Bing Liu , Wenjuan Yang , Haoran Du , Zhenzhen Liu , Xin Liang , Huaxia Deng , Xinglong Gong
{"title":"Intelligent force sensing separator for integrated lithium-ion battery safety monitoring","authors":"Yuewen Wang ,&nbsp;Bing Liu ,&nbsp;Wenjuan Yang ,&nbsp;Haoran Du ,&nbsp;Zhenzhen Liu ,&nbsp;Xin Liang ,&nbsp;Huaxia Deng ,&nbsp;Xinglong Gong","doi":"10.1016/j.compstruct.2025.119660","DOIUrl":"10.1016/j.compstruct.2025.119660","url":null,"abstract":"<div><div>Lithium-ion batteries (LIBs) are one of the most promising batteries in energy storage systems. During operation, lithium-ion batteries are influenced by external physical factors, leading to a series of dangerous reactions, such as battery short-circuit and electrolyte leakage, which may result in severe fire and explosion incidents. In our work, a smart-sensing, multifunctional separator for monitoring internal voltage changes from external pressure fluctuations was developed through the coaxial electrospinning process. The results show that lithium iron phosphate-based LIBs assembled with the prepared separator exhibit excellent electrochemical performances. The coin cells maintain a discharge specific capacity of 160.05 mAh g<sup>−1</sup> after 200 cycles at 0.5C, and the pouch cells deliever around 80 % of their capacity after 200 cycles at 0.5C. Simultaneously, we applied external pressure to the pouch cells through various methods, such as palm slapping, finger tapping, finger rubbing, and rubber hammer strikes, with the oscilloscope recording voltage output signals of 0.56 V, 0.38 V, 0.11 V, and 0.33 V respectively, demonstrating the stability and sensitivity of the PVDF-PVA separator material in sensing functions. The work provides an effective and timely approach for battery safety monitoring, and shows the application potential in the field of energy storage and security, and industrial environment monitoring.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"373 ","pages":"Article 119660"},"PeriodicalIF":7.1,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145226947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Residual tensile strength in composite laminates: a deep learning approach 复合材料层压板的残余拉伸强度:一种深度学习方法
IF 7.1 2区 材料科学
Composite Structures Pub Date : 2025-09-20 DOI: 10.1016/j.compstruct.2025.119681
Lu Liu , Xing Wang , Junjie Ye , Jinwang Shi , Ziwei Li , Yang Shi , Jianqiao Ye
{"title":"Residual tensile strength in composite laminates: a deep learning approach","authors":"Lu Liu ,&nbsp;Xing Wang ,&nbsp;Junjie Ye ,&nbsp;Jinwang Shi ,&nbsp;Ziwei Li ,&nbsp;Yang Shi ,&nbsp;Jianqiao Ye","doi":"10.1016/j.compstruct.2025.119681","DOIUrl":"10.1016/j.compstruct.2025.119681","url":null,"abstract":"<div><div>To effectively predict residual tensile strength (RTS) of carbon fiber-reinforced plastics (CFRP) composite laminates after impact, an integrated framework is proposed. The framework incorporates a three-dimensional (3D) nonlinear progressive damage model and a backpropagation deep neural network (DNN) model with three hidden layers. The 3D model is developed to predict RTS and prepare dataset for the training of the DNN model. The model is validated by tensile tests on laminates that were damaged by impacts of various energies levels. The failure modes and the fracture morphology of the laminates are studied by simulation and scanning electron microscopy (SEM) results. Statistical analysis on the performance of the DNN demonstrates that a trained and constructed neural network can satisfactorily predict RTS of laminates pre-damaged by impacts.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"373 ","pages":"Article 119681"},"PeriodicalIF":7.1,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145118103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Computationally efficient modelling of impact and perforation in woven FRP composites 编织FRP复合材料冲击和穿孔的高效计算模型
IF 7.1 2区 材料科学
Composite Structures Pub Date : 2025-09-20 DOI: 10.1016/j.compstruct.2025.119683
Jakov Ratković, Darko Ivančević
{"title":"Computationally efficient modelling of impact and perforation in woven FRP composites","authors":"Jakov Ratković,&nbsp;Darko Ivančević","doi":"10.1016/j.compstruct.2025.119683","DOIUrl":"10.1016/j.compstruct.2025.119683","url":null,"abstract":"<div><div>In this study, investigation of different strategies to improve the computational efficiency of impact induced progressive damage analyses in woven fibre reinforced composites is presented. A VUMAT user-defined material model is used in combination with commercial finite element software <em>Abaqus/Explicit</em> for progressive damage modelling of woven carbon fibre reinforced epoxy laminates. Along stress-based failure initiation criteria and energy-driven damage evolution, complete loss of load-bearing capability is captured by effective failure strain-based element removal, thus enabling the accurate assessment of full perforation energy margin. Verification of the proposed methodologies against experimental results has been performed by employing the selected modelling strategies. The approach has been validated in impact simulations in which steel spherical impactors induce damage in rectangular composite plates made of plain weave woven CFRP with the layup [45, 0, 45, 0, 45]<sub>s</sub>. The results have shown that careful implementation of simplifications in the model leads to significant improvements in the computational efficiency, while retaining the accuracy level. Namely, an outstanding total time reduction of over 75 % was achieved. Thus, compared to the starting “Full” model, the final, “Hybrid” model is rendered much more suitable for engineering applications in which large structural components are examined.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"374 ","pages":"Article 119683"},"PeriodicalIF":7.1,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145219088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Effect of geometry-induced triangular gap and overlap defects on in-situ AFP-manufactured structures 几何诱导的三角形间隙和重叠缺陷对原位聚丙烯制造结构的影响
IF 7.1 2区 材料科学
Composite Structures Pub Date : 2025-09-19 DOI: 10.1016/j.compstruct.2025.119556
Lukas Raps, Ashley R. Chadwick, Heinz F. Voggenreiter
{"title":"Effect of geometry-induced triangular gap and overlap defects on in-situ AFP-manufactured structures","authors":"Lukas Raps,&nbsp;Ashley R. Chadwick,&nbsp;Heinz F. Voggenreiter","doi":"10.1016/j.compstruct.2025.119556","DOIUrl":"10.1016/j.compstruct.2025.119556","url":null,"abstract":"<div><div>This study investigates realistic triangular gap and overlap defects resulting from complex geometry Automated Fiber Placement (AFP) and their effect on laminate composition and mechanical properties of in-situ AFP-manufactured laminates. Laminates with realistically staggered defects are manufactured using in-situ AFP and compared to hot press re-consolidated reference laminates. Microanalysis reveals defect-induced porosity localized at defect edges (gaps) or outside the defect contour (overlaps), which can be significantly mitigated by subsequent ply orientation. Despite these microstructural variations, the impact on tensile and compressive strength and modulus is minimal, suggesting a sub-critical disruption of the laminate composition from staggered defects. While subtle differences are observed between gap and overlap defects, a larger influence of mechanical performance is given by the manufacturing configuration, with hot pressed specimens exhibiting higher strength and modulus. These findings provide initial evidence suggesting that geometry-related defects can be tolerated in in-situ AFP laminates without substantial performance degradation, informing future process optimization and defect tolerance strategies.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"373 ","pages":"Article 119556"},"PeriodicalIF":7.1,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145118102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Characterization of impact damage patterns in composite aerospace structures using augmented thermal signal reconstruction 利用增强热信号重建表征复合材料航天结构的冲击损伤模式
IF 7.1 2区 材料科学
Composite Structures Pub Date : 2025-09-19 DOI: 10.1016/j.compstruct.2025.119651
Mark Smeets , Francesco Lanza di Scalea , Margherita Capriotti
{"title":"Characterization of impact damage patterns in composite aerospace structures using augmented thermal signal reconstruction","authors":"Mark Smeets ,&nbsp;Francesco Lanza di Scalea ,&nbsp;Margherita Capriotti","doi":"10.1016/j.compstruct.2025.119651","DOIUrl":"10.1016/j.compstruct.2025.119651","url":null,"abstract":"<div><div>Barely visible impact damage in composite materials threatens the safety and durability of composite structures. Due to its low visibility and complexity, the quantitative characterization of the damage mechanisms involved is very critical. This is particularly challenging in composite aerospace structures, where multiple components are assembled and concurrent interactive failure mechanisms due to impact involve different structural elements. In this paper, pulsed infrared thermography was applied on a skin-to-stringer carbon fiber reinforced polymer panel, subjected to impacts. New 2nd time derivative features and a time augmented version of the Thermal Signal Reconstruction (TSR) technique are proposed to characterize realistic matrix cracking and delamination damage, leveraging the cooling dynamics of pulsed thermography. Five unique damage patterns, ranging from 20 mm to 100 mm in length and distributed throughout the panel thickness and components, are identified. Type, size, and depth of the damage patterns are quantified and compared to independently mapped damage. Current destructive and non-destructive techniques have limitations in preserving the damage and specimen states and in providing rapid assessment, respectively. The proposed experimental method enables to identify post-mortem and characterize the evolution of impact damage mechanisms non-invasively for the assessment of impact damage progression in large composite assemblies.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"373 ","pages":"Article 119651"},"PeriodicalIF":7.1,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A unified finite strain visco-elastic visco-plastic constitutive model for a thermosetting polymer from low to high strain rates: Experiments, Validation and Bayesian optimization 从低应变率到高应变率的热固性聚合物的统一有限应变粘弹性粘塑性本构模型:实验,验证和贝叶斯优化
IF 7.1 2区 材料科学
Composite Structures Pub Date : 2025-09-19 DOI: 10.1016/j.compstruct.2025.119654
Kailong Xu , Jinzhao Huang , Heng Zhang , Dan Huang , Lulu Liu , Wei Chen , T.E. Tay
{"title":"A unified finite strain visco-elastic visco-plastic constitutive model for a thermosetting polymer from low to high strain rates: Experiments, Validation and Bayesian optimization","authors":"Kailong Xu ,&nbsp;Jinzhao Huang ,&nbsp;Heng Zhang ,&nbsp;Dan Huang ,&nbsp;Lulu Liu ,&nbsp;Wei Chen ,&nbsp;T.E. Tay","doi":"10.1016/j.compstruct.2025.119654","DOIUrl":"10.1016/j.compstruct.2025.119654","url":null,"abstract":"<div><div>A thermosetting polymer exhibit phase transitions from low strain rate to high strain rate loading, even at high temperatures. In this work, a unified finite strain visco-elastic visco-plastic (VE-VP) constitutive model considering temperature and strain-rate effects is theoretically developed and numerically implemented in a commercial software by means of a user defined subroutine to characterize observed mechanical response from low to high strain rate, where the phase transition can be characterized by a change in parameter quantities. In order to solve the problem of multi-parameters identification from the VE-VP model (more than 10 parameters), a multi-stage physical interpretation Bayesian optimization (MSPI-BO) framework has been proposed, accounting for the physical reasonability when calibrating material properties, and then giving the explicit mathematical expressions of the material parameters variation with temperature. The results show the VE-VP constitutive model using the MSPI-BO calibrated material parameters can well illustrate the mechanical response of polymer at different temperatures and strain rates. The proposed MSPI-BO approach in this paper provide a new perspective and inspiration for data-driven computational mechanics.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"373 ","pages":"Article 119654"},"PeriodicalIF":7.1,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信