{"title":"Parameter identification of Yoshida–Uemori combined hardening model by using a variable step size firefly algorithm","authors":"Bora Şener","doi":"10.1515/mt-2023-0351","DOIUrl":null,"url":null,"abstract":"\n The material behavior under cyclic loading is more complex than under monotonic loading and the usage of the sophisticated constitutive models is required to accurately define the elastoplastic behaviors of the advanced high-strength steels and aluminum alloys. These models involve the numerous material parameters that are determined from cyclic tests and accurate calibration of the variables has a great influence on the description of the material response. Therefore, the development of a precise and robust identification method is needed to obtain reliable results. In this study, a systematic methodology depending upon the firefly algorithm (FA) with variable step size has been developed and Yoshida–Uemori combined hardening model parameters of a dual-phase steel (DP980) and an aluminum alloy (AA6XXX-T4) are determined. The identified parameters are verified based on comparisons between the finite element simulations of the cyclic uniaxial tension-compression tests and experimental data and also the search performance of the variable FA is evaluated by comparing it with the standard FA. It is seen from these comparisons that variable FA can easily find and rapidly converge to the global optimum solutions.","PeriodicalId":18231,"journal":{"name":"Materials Testing","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials Testing","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1515/mt-2023-0351","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, CHARACTERIZATION & TESTING","Score":null,"Total":0}
引用次数: 0
Abstract
The material behavior under cyclic loading is more complex than under monotonic loading and the usage of the sophisticated constitutive models is required to accurately define the elastoplastic behaviors of the advanced high-strength steels and aluminum alloys. These models involve the numerous material parameters that are determined from cyclic tests and accurate calibration of the variables has a great influence on the description of the material response. Therefore, the development of a precise and robust identification method is needed to obtain reliable results. In this study, a systematic methodology depending upon the firefly algorithm (FA) with variable step size has been developed and Yoshida–Uemori combined hardening model parameters of a dual-phase steel (DP980) and an aluminum alloy (AA6XXX-T4) are determined. The identified parameters are verified based on comparisons between the finite element simulations of the cyclic uniaxial tension-compression tests and experimental data and also the search performance of the variable FA is evaluated by comparing it with the standard FA. It is seen from these comparisons that variable FA can easily find and rapidly converge to the global optimum solutions.
与单调加载相比,循环加载下的材料行为更为复杂,因此需要使用复杂的构成模型来准确定义先进高强度钢和铝合金的弹塑性行为。这些模型涉及大量通过循环测试确定的材料参数,变量的精确校准对材料响应的描述有很大影响。因此,需要开发一种精确、稳健的识别方法,以获得可靠的结果。在本研究中,开发了一种基于萤火虫算法(FA)、步长可变的系统方法,并确定了双相钢(DP980)和铝合金(AA6XXX-T4)的 Yoshida-Uemori 组合硬化模型参数。根据循环单轴拉伸-压缩试验的有限元模拟与实验数据之间的比较,对确定的参数进行了验证,并通过与标准 FA 进行比较,对可变 FA 的搜索性能进行了评估。从这些比较中可以看出,变量 FA 可以轻松找到并快速收敛到全局最优解。
期刊介绍:
Materials Testing is a SCI-listed English language journal dealing with all aspects of material and component testing with a special focus on transfer between laboratory research into industrial application. The journal provides first-hand information on non-destructive, destructive, optical, physical and chemical test procedures. It contains exclusive articles which are peer-reviewed applying respectively high international quality criterions.