Numerically validated reduced-order model for laminates containing shape memory alloy wire meshes

Author:

Halbert Tyler1,Peraza Hernandez Edwin2,Malak Richard1,Hartl Darren2

Affiliation:

1. Design Systems Laboratory, Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA

2. Department of Aerospace Engineering, Texas A&M University, College Station, TX, USA

Abstract

The incorporation of active materials into composites is an active area of research. However, the design and optimization of such composites is challenging because detailed analysis using finite element analysis (FEA) is computationally intensive. This work presents a new reduced-order model for laminates containing shape memory alloy (SMA) wire meshes that significantly reduces the computational burden on design analysis while maintaining good accuracy. The approach is based on a foundation of classical laminated plate theory (CLPT). It considers fully non-linear stress distributions and incorporates a detailed phenomenological model of the hysteretic SMA constitutive behavior. The reduced-order CLPT-based model and its numerical implementation are fully described and unique laminate responses are presented. The model is validated against a corresponding high-fidelity FEA model of an SMA-based laminate. The reduced-order model produces accurate predictions at significantly less expense than the high-fidelity FEA approach, with normalized root-mean-squared error below 10% for most design cases.

Publisher

SAGE Publications

Subject

Mechanical Engineering,General Materials Science

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Dynamic experimental study of nitinol wire-reinforced composite structures;Mechanics of Advanced Materials and Structures;2023-09-06

2. Modeling and design optimization of shape memory alloy-enabled building skins for adaptive ventilation;Journal of Intelligent Material Systems and Structures;2022-01-21

3. Bending theory for laminated composite cantilever beams with multiple embedded shape memory alloy layers;Journal of Intelligent Material Systems and Structures;2019-04-04

4. Model based design of antagonistic shape memory alloy spring devices;Journal of Intelligent Material Systems and Structures;2018-05-22

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