参数统计
先验与后验
鉴定(生物学)
本构方程
领域(数学)
压力(语言学)
边值问题
扩展(谓词逻辑)
参数化模型
应力场
计算机科学
运动学
结构工程
有限元法
边界(拓扑)
应用数学
数学
数学分析
工程类
物理
经典力学
统计
生物
程序设计语言
哲学
语言学
纯数学
认识论
植物
作者
Richard N. Langlois,Michel Coret,Julien Réthoré
出处
期刊:Strain
[Wiley]
日期:2022-02-27
卷期号:58 (4)
被引量:13
摘要
Abstract Estimating stress in statically undetermined tests remains an issue in experimental mechanics. Most estimation methods rely on the a priori choice of a behaviour equation leading to an unavoidable model bias. Recently, efforts have been made to propose methods circumventing the parametric description of constitutive behaviours. In particular, Leygue et al. (2018) proposed a new paradigm called data‐driven identification (DDI). An extension of Leygue's method to history‐dependent materials is proposed in this paper. The formulation of the problem and its resolution are presented with emphasis on boundary conditions. The method is tested on real experimental data where the elasto‐plastic material is subjected to the formation of Piobert–Lüders bands. We finally show that the DDI allows to obtain balanced fields that are closer (more consistent) to the field measurements than the fields obtained by parametric identification strategies, even more in the presence of strain localization bands whose kinematics are usually not described by a standard constitutive model.
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