有色金属材料与工程2026，Vol.47Issue(2)：34-42,9.DOI:10.13258/j.cnki.nmme.20250511001
基于改进遗传算法的NiTi合金动态本构参数优化识别研究
Research on optimization identification for dynamic constitutive parameters of NiTi alloy based on advanced genetic algorithm
摘要
Abstract
A dynamic constitutive model of NiTi shape memory alloy constructed based on the framework of irreversible thermodynamics contains multiple undetermined constitutive parameters.To improve the efficiency and accuracy of parameter identification,the Latin Hypercube Sampling(LHS)method is adopted to sample the model parameters.Combined with the Spearman rank correlation analysis method in non-parametric statistics,the correlation between the random input sample set of constitutive parameters and the corresponding output result set of the objective function is analyzed,and the global analysis of parameter sensitivity is realized based on the Spearman rank correlation coefficient.On the basis of sensitivity analysis,an improved genetic algorithm is used for the optimal identification of dynamic constitutive parameters of NiTi alloy.The calculation results of the semi-implicit stress integration method show that the dynamic stress-strain curves of NiTi alloy obtained by numerical simulation are in good agreement with the existing experimental data,which verifies the effectiveness of the proposed optimal identification method and can be applied to the identification of constitutive parameters of NiTi alloy and other similar materials.关键词
NiTi合金/动态本构模型/参数敏感度分析/改进遗传算法/优化识别Key words
NiTi shape memory alloy/dynamic constitutive model/parameter sensitivity analysis/advanced genetic algorithm/optimization identification分类
矿业与冶金引用本文复制引用
李云飞,何琴淑,王远岑..基于改进遗传算法的NiTi合金动态本构参数优化识别研究[J].有色金属材料与工程,2026,47(2):34-42,9.基金项目
国家自然科学基金企业联合基金重点资助项目(U24B2010) （U24B2010）
