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Topology optimization of multi-material structures with elastoplastic strain hardening model

The paper presents a new multi-material topology optimization method with a novel adjoint sensitivity analysis that can accommodate not only multiple plasticity but also multiple hardening models for individual materials in composite structures. Based on the proposed method, an integrated framework...

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Published in:Structural and multidisciplinary optimization 2021-09, Vol.64 (3), p.1141-1160
Main Authors: Li, Mengxiao, Deng, Yu, Zhang, Hexin, Wong, Simon H. F., Mohamed, Ahmed, Zheng, Yu, Gao, Jiaxiang, Yuen, Terry Y. P., Dong, Biqin, Kuang, J. S.
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cited_by cdi_FETCH-LOGICAL-c363t-3d9ac99e1c2575ae122ec99af0b3f766485d1469602121f8f4c8c327b9ff314f3
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container_title Structural and multidisciplinary optimization
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creator Li, Mengxiao
Deng, Yu
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Dong, Biqin
Kuang, J. S.
description The paper presents a new multi-material topology optimization method with a novel adjoint sensitivity analysis that can accommodate not only multiple plasticity but also multiple hardening models for individual materials in composite structures. Based on the proposed method, an integrated framework is developed which details the nonlinear finite element analysis, sensitivity analysis and optimization procedure. The proposed method and framework are implemented and illustrated by three numerical examples presented in this paper. An in-depth analysis of the numerical results has revealed the significant impact of the selection of plasticity and hardening model on the results of topology.
doi_str_mv 10.1007/s00158-021-02905-3
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1615-1488
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source Springer Nature
subjects Composite structures
Computational Mathematics and Numerical Analysis
Elastoplasticity
Engineering
Engineering Design
Finite element method
Mathematical models
Optimization
Plastic properties
Research Paper
Sensitivity analysis
Strain hardening
Theoretical and Applied Mechanics
Topology optimization
title Topology optimization of multi-material structures with elastoplastic strain hardening model
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