Data-based derivation of material response
Data-based derivation of material response
复制标题
DOI：
10.1016/j.cma.2017.11.013
复制
发表时间：
2018-04-01
影响因子：
7.2
通讯作者：
Verron, Erwan
中科院分区：
文献类型：
--
作者：
Leygue, Adrien;Coret, Michel;Verron, Erwan
本文提出了一种识别非线性弹性材料的应变-应力关系的方法，而不需要任何基本的本构方程。该方法基于Kirchdoerfer和Ortiz(2016)最近提出的数据驱动计算力学的概念。从非均匀应变场的集合中，例如通过数字图像相关测量，该算法建立了一个应变-应力对数据库，该数据库对测量应变范围内的材料的机械响应进行采样。首先将该方法用于桁架结构，然后将其推广到小应变弹性情况。利用生产数据讨论了该方法的精度、对测量噪声和参数的敏感性。(C)2017爱思唯尔B.V.保留所有权利。
This paper proposes a method to identify the strain-stress relation of non-linear elastic materials, without any underlying constitutive equation. The approach is based on the concept of Data Driven Computational Mechanics recently introduced by Kirchdoerfer and Ortiz (2016). From a collection of non-homogeneous strain fields, for example measured through Digital Image Correlation, the algorithm builds a database of strain-stress couples that sample the mechanical response of the material for the range of measured strains. The method is first derived for truss structures and then extended to the case of small-strain elasticity. The method accuracy, sensitivity to measurement noise and parameters are discussed using manufactured data. (C) 2017 Elsevier B.V. All rights reserved.