MAP123-EP: A mechanistic-based data-driven approach for numerical elastoplastic analysis

被引:38
作者
Tang, Shan [1 ,2 ]
Li, Ying [3 ]
Qiu, Hai [1 ,2 ]
Yang, Hang [1 ,2 ]
Saha, Sourav [4 ]
Mojumder, Satyajit [4 ]
Liu, Wing Kam [5 ]
Guo, Xu [1 ,2 ]
机构
[1] Dalian Univ Technol, Dept Engn Mech, State Key Lab Struct Anal Ind Equipment, Dalian 116023, Peoples R China
[2] Dalian Univ Technol, Int Res Ctr Computat Mech, Dalian 116023, Peoples R China
[3] Univ Connecticut, Dept Mech Engn & Inst Mat Sci, Storrs, CT 06269 USA
[4] Northwestern Univ, Theoret & Appl Mech Program, Evanston, IL 60208 USA
[5] Northwestern Univ, Dept Mech Engn, Evanston, IL 60208 USA
基金
美国国家科学基金会;
关键词
Data-driven; Elastoplastic material; Constitutive law; Finite element analysis; Strain-driven; CONSISTENT CLUSTERING ANALYSIS; HETEROGENEOUS MATERIAL; MODEL;
D O I
10.1016/j.cma.2020.112955
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, a mechanistic-based data-driven approach, MAP123-EP, is proposed for numerical analysis of elastoplastic materials. In this method, stress-update is driven by a set of one-dimensional stress-strain data generated by numerical or physical experiments under uniaxial loading. Numerical results indicate that combined with the classical strain-driven scheme, the proposed method can predict the mechanical response of isotropic elastoplastic materials (characterized by J2 plasticity model with isotropic/kinematic hardening and associated Drucker-Prager model) accurately without resorting to the typical ingredients of classical model-based plasticity, such as decomposing the total strain into elastic and plastic parts, as well as identifying explicit functional expressions of yielding surface and hardening curve. This mechanistic-based data-driven approach has the potential of opening up a new avenue for numerical analysis of problems where complex material behaviors cannot be described in explicit function/functional forms. The applicability and limitation of the proposed approach are also discussed. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:21
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