Multiscale stochastic fatigue analysis of CFRP laminate composites with Bayesian calibration-based characterization method

IF 6.3 2区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composite Structures Pub Date : 2025-03-29 DOI:10.1016/j.compstruct.2025.119139

Hoil Choi , Hyoung Jun Lim , Dongwon Ha , Jeong Hwan Kim , Gun Jin Yun

{"title":"Multiscale stochastic fatigue analysis of CFRP laminate composites with Bayesian calibration-based characterization method","authors":"Hoil Choi , Hyoung Jun Lim , Dongwon Ha , Jeong Hwan Kim , Gun Jin Yun","doi":"10.1016/j.compstruct.2025.119139","DOIUrl":null,"url":null,"abstract":"<div><div>This paper establishes a novel multiscale stochastic fatigue analysis framework to predict the uncertainty characteristics observed in the fatigue experiments of carbon fiber reinforced polymer (CFRP) laminate composites. A Bayesian calibration-based characterization method derives fatigue parameter distributions for constituent level (fiber, matrix, interface) from lamina fatigue experimental results. With multiscale fatigue analysis framework, a micromechanics theory-based constitutive model is defined to calculate the fatigue damage at the constituent level, and the degradation effects due to fatigue damage are reflected during the finite element (FE) analysis. Additionally, the uncertainty of material properties present in the specimens is captured using the Karhunen-Loève (KL) expansion method, a spectral stochastic finite element method (SSFEM). As a result of multiscale stochastic fatigue analysis, a distribution of fatigue life and fatigue failure mechanisms can be predicted. Considering the stochastic properties observed in experimental results, it can be confirmed that the developed method accurately reflects the realistic fatigue behavior of CFRP laminate composites.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"363 ","pages":"Article 119139"},"PeriodicalIF":6.3000,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Composite Structures","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263822325003046","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, COMPOSITES","Score":null,"Total":0}

引用次数: 0

Abstract

This paper establishes a novel multiscale stochastic fatigue analysis framework to predict the uncertainty characteristics observed in the fatigue experiments of carbon fiber reinforced polymer (CFRP) laminate composites. A Bayesian calibration-based characterization method derives fatigue parameter distributions for constituent level (fiber, matrix, interface) from lamina fatigue experimental results. With multiscale fatigue analysis framework, a micromechanics theory-based constitutive model is defined to calculate the fatigue damage at the constituent level, and the degradation effects due to fatigue damage are reflected during the finite element (FE) analysis. Additionally, the uncertainty of material properties present in the specimens is captured using the Karhunen-Loève (KL) expansion method, a spectral stochastic finite element method (SSFEM). As a result of multiscale stochastic fatigue analysis, a distribution of fatigue life and fatigue failure mechanisms can be predicted. Considering the stochastic properties observed in experimental results, it can be confirmed that the developed method accurately reflects the realistic fatigue behavior of CFRP laminate composites.

查看原文本刊更多论文

基于贝叶斯标定表征方法的CFRP层合复合材料多尺度随机疲劳分析

建立了一种新的多尺度随机疲劳分析框架，用于预测碳纤维增强聚合物（CFRP）层合复合材料疲劳试验中观察到的不确定性特征。基于贝叶斯校正的表征方法从层状疲劳实验结果中导出了各组成层（纤维、基体、界面）的疲劳参数分布。在多尺度疲劳分析框架下，定义了基于细观力学理论的本构模型，在构件层面计算疲劳损伤，并在有限元分析中反映疲劳损伤的退化效应。此外，材料性能的不确定性存在于试样是利用karhunen - lo (KL)展开法，一种谱随机有限元法（SSFEM）。通过多尺度随机疲劳分析，可以预测疲劳寿命分布和疲劳失效机理。结合实验结果观察到的随机特性，可以证实所建立的方法准确地反映了CFRP复合材料的真实疲劳行为。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Composite Structures 工程技术-材料科学：复合

CiteScore

12.00

自引率

12.70%

发文量

1246

审稿时长

78 days

期刊介绍： The past few decades have seen outstanding advances in the use of composite materials in structural applications. There can be little doubt that, within engineering circles, composites have revolutionised traditional design concepts and made possible an unparalleled range of new and exciting possibilities as viable materials for construction. Composite Structures, an International Journal, disseminates knowledge between users, manufacturers, designers and researchers involved in structures or structural components manufactured using composite materials. The journal publishes papers which contribute to knowledge in the use of composite materials in engineering structures. Papers deal with design, research and development studies, experimental investigations, theoretical analysis and fabrication techniques relevant to the application of composites in load-bearing components for assemblies, ranging from individual components such as plates and shells to complete composite structures.