形状记忆合金结构的拓扑优化设计方法
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TH 122

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上海市科委自然科学基金资助项目(22ZR1442800)


Topology optimization design method of shape memory alloy structure
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    摘要:

    针对形状记忆合金的超弹性特性,结合余弦型本构模型和固体各向同性材料惩罚模型,建立材料插值函数,并利用变密度拓扑优化方法,实现了考虑形状记忆合金材料非线性的结构拓扑优化设计。将提出的方法应用于二维和三维结构设计,并利用静力学分析和马氏体相变演化分析方法,对优化设计结构进行研究。结果表明:相比传统优化设计方法,本文提出的优化方法所得结构具有较好的力学性能,受静力载荷时,结构内部最大应力相比传统优化结构下降19.57%,最大位移下降31.03%;在马氏体相变演化分析中,加载结束时的最大马氏体体积分数下降了20.27%。本文所提出的优化设计方法获得的结构内部整体应力分布较为平均,不易发生局部的应力集中,且马氏体相变导致的变形较小。

    Abstract:

    Based on the superelastic properties exhibited by shape memory alloy, a cosine type constitutive model and a solid isotropic material penalty model were combined to describe the characteristics of shape memory alloy. A material interpolation function was established and a variable density topology optimization method was used to achieve structural topology optimization design considering the nonlinearity of shape memory alloy. The proposed method was applied to design the typical two-dimensional and three-dimensional structures. Static analysis and martensitic transformation evolution analysis were used to analysis the structure obtained by the proposed optimization method. The results show that the structure optimized by the proposed method has better mechanical properties compared to the traditional one. In static analysis, the maximum internal stress decreases by 19.57% and the maximum displacement decreases by 31.03%. In the analysis of martensitic transformation evolution, the maximum volume fraction of martensite at the end of loading decreases by 20.27%. The proposed optimization design method results in the even overall stress distribution within the structure, less prone to local stress concentration, and less deformation caused by martensitic transformation.

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陈世瞳,丁晓红,熊敏.形状记忆合金结构的拓扑优化设计方法[J].上海理工大学学报,2025,47(3):239-248.

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  • 收稿日期:2025-02-10
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  • 在线发布日期: 2025-07-17
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