形状记忆合金超弹性本构关系的神经网络模型

英文篇名：A constitutive model for superelasticity of shape memory alloy based on neural network
中文刊名：振动工程学报
英文刊名：Journal of Vibration Engineering
作者：崔迪 ; 李宏男 ; 宋钢兵
英文作者：CUI Di~1 ; LI Hong-nan~1 ; SONG Gang-bing~(1 ; 2) (1.State Key Laboratory of Coastal and Offshore Engineering ; Dalian University of Technology ; Dalian 116024 ; China ; 2.Department of Mechanical Engineering ; University of Houston ; Houston ; USA ; 77204)
中文关键词：形状记忆合金 ; 超弹性 ; 本构关系 ; 神经网络
英文关键词：shape memory alloy ; superelasticity ; constitutive relationship ; neural network
出版日期：2006-03-30
机构：大连理工大学海岸和近海工程国家重点实验室,大连理工大学海岸和近海工程国家重点实验室,大连理工大学海岸和近海工程国家重点实验室辽宁大连116024,辽宁大连116024,辽宁大连116024,美国休斯敦大学机械工程系,美国休斯敦77204
年：2006
期：01
出版单位：振动工程学报

摘要

通过试验,研究了受过循环变形、具有稳定超弹性变形性能的形状记忆合金丝在拉伸到不同应变幅值条件下卸载的超弹性变形行为。根据试验测得的结果,提出了基于神经网络的形状记忆合金超弹性本构关系模型,并把模型计算的结果和实验数据进行了比较分析,结果表明,该模型具有很高的精度。该模型避免了已有模型在参数确定上的困难,具有一定的工程应用价值,为建立形状记忆合金本构模型提供了一个新的思路。
Superelasticity is one of the most important properties of shape memory alloy.In this paper,the superelastic deformation behavior of NiTi shape memory alloy subjected to cyclic loading with stable superelasticity is investigated experimentally.According to the test data,a constitutive model for the superelasticity of shape memory alloy is put forward based on artificial neural network.The numerical results agree well with experimental observations,which verifies the constitutive model has a high accuracy.With this model,the difficulties on the determination of the parameters for other models can be avoided,and which leads to a practical engineering application of this model.Thus,a new attempt is provided in the present paper for building the constitutive model of shape memory alloy.

引文

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