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嵌入形状记忆合金的方形和矩形复合层合板偏心冲击模拟

Simulation of Eccentric Impact of Square and Rectangular Composite Laminates Embedded with SMA.

作者信息

Sun Min, Chang Mengzhou, Wang Zhenqing, Li Hao, Liu Yanfei

机构信息

College of Aerospace and Civil Engineering, Harbin Engineering University, Harbin 150001, China.

State Key Laboratory of Tribology, Tsinghua University, Beijing 100084, China.

出版信息

Materials (Basel). 2018 Nov 26;11(12):2371. doi: 10.3390/ma11122371.

DOI:10.3390/ma11122371
PMID:30486241
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6316937/
Abstract

In the present work, we study the low velocity impact, both central and eccentric, on square and rectangular laminated composite plates with embedded shape memory alloy (SMA) wires, which are stitched on the top and bottom surfaces of the plate, by using the finite element method. In finite element methods (FEM) simulations, a super-elastic SMA constitutive model is implemented in Abaqus/Explict by using a user defined material subroutine to describe the behaviors of SMAs. The three-dimensional (3D) Hashin failure criterion is adopted to model the damage initiation of laminated composite plates. To model the delamination failure, a cohesive damage zone model is introduced in interface elements. A comprehensive parametric study has been carried out to analyze the effects of eccentricity for the case of square and rectangular laminated composite plates.

摘要

在本研究中，我们使用有限元方法研究了低速冲击（包括中心冲击和偏心冲击）对带有嵌入式形状记忆合金（SMA）丝的方形和矩形层合复合板的影响，这些SMA丝缝在板的顶面和底面。在有限元方法（FEM）模拟中，通过使用用户定义材料子程序在Abaqus/Explict中实现超弹性SMA本构模型，以描述形状记忆合金的行为。采用三维（3D）Hashin失效准则对层合复合板的损伤起始进行建模。为了对分层失效进行建模，在界面单元中引入了内聚损伤区模型。针对方形和矩形层合复合板的情况，进行了全面的参数研究以分析偏心的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d6/6316937/2fe1364254ec/materials-11-02371-g012a.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d6/6316937/0d4a0f3f2301/materials-11-02371-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d6/6316937/4aa796be6c3e/materials-11-02371-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d6/6316937/847a9fdd9241/materials-11-02371-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d6/6316937/ccf5ad82c23f/materials-11-02371-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d6/6316937/c516e6395d99/materials-11-02371-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d6/6316937/eae9def17411/materials-11-02371-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d6/6316937/32fdb0230748/materials-11-02371-g011a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d6/6316937/2fe1364254ec/materials-11-02371-g012a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d6/6316937/180e1829267b/materials-11-02371-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d6/6316937/a63b3c356c08/materials-11-02371-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d6/6316937/b1bbffe22acc/materials-11-02371-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d6/6316937/8694fad960a5/materials-11-02371-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d6/6316937/0d4a0f3f2301/materials-11-02371-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d6/6316937/4aa796be6c3e/materials-11-02371-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d6/6316937/847a9fdd9241/materials-11-02371-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d6/6316937/ccf5ad82c23f/materials-11-02371-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d6/6316937/c516e6395d99/materials-11-02371-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d6/6316937/eae9def17411/materials-11-02371-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d6/6316937/32fdb0230748/materials-11-02371-g011a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d6/6316937/2fe1364254ec/materials-11-02371-g012a.jpg

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