Shape optimization of SMA structures with respect to fatigue

This paper presents an efficient structural optimization approach for shape memory alloys (SMAs) with respect to fatigue. In the proposed method, a nonparametric shape optimization approach based on optimality criteria is applied to change the structural configuration. The design optimization framew...

Full description

Bibliographic Details
Main Authors: Xiaojun Gu, Yinfeng Cao, Jihong Zhu, Jun Wang, Weihong Zhang, Ziad Moumni
Format: Article
Language:English
Published: Elsevier 2020-04-01
Series:Materials & Design
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127519308949
_version_ 1818899178715086848
author Xiaojun Gu
Yinfeng Cao
Jihong Zhu
Jun Wang
Weihong Zhang
Ziad Moumni
author_facet Xiaojun Gu
Yinfeng Cao
Jihong Zhu
Jun Wang
Weihong Zhang
Ziad Moumni
author_sort Xiaojun Gu
collection DOAJ
description This paper presents an efficient structural optimization approach for shape memory alloys (SMAs) with respect to fatigue. In the proposed method, a nonparametric shape optimization approach based on optimality criteria is applied to change the structural configuration. The design optimization framework is accomplished by relying on commercially available software and tools. In addition, both low- and high-cycle fatigue criteria are used to compute the fatigue factor at each material point, indicating its degree of safeness with respect to fatigue. Meanwhile, a 3D constitutive model is utilized to predict, with good accuracy, the stabilized thermomechanical stress state of a SMA structure subjected to multiaxial nonproportional cyclic loading. Finally, numerical examples are tested to demonstrate the effectiveness of the proposed method. Keywords: Shape memory alloys, Fatigue, Structural optimization
first_indexed 2024-12-19T19:43:50Z
format Article
id doaj.art-a5582e2d930f42aaa61b7b5a4a0f1191
institution Directory Open Access Journal
issn 0264-1275
language English
last_indexed 2024-12-19T19:43:50Z
publishDate 2020-04-01
publisher Elsevier
record_format Article
series Materials & Design
spelling doaj.art-a5582e2d930f42aaa61b7b5a4a0f11912022-12-21T20:08:12ZengElsevierMaterials & Design0264-12752020-04-01189Shape optimization of SMA structures with respect to fatigueXiaojun Gu0Yinfeng Cao1Jihong Zhu2Jun Wang3Weihong Zhang4Ziad Moumni5Unmanned System Research Institute, Northwestern Polytechnical University, 710072 Xi’an, China; State IJR Center of Aerospace Design and Additive Manufacturing, Northwestern Polytechnical University, Xi’an 710072, ChinaState IJR Center of Aerospace Design and Additive Manufacturing, Northwestern Polytechnical University, Xi’an 710072, ChinaState IJR Center of Aerospace Design and Additive Manufacturing, Northwestern Polytechnical University, Xi’an 710072, China; Corresponding author.Unmanned System Research Institute, Northwestern Polytechnical University, 710072 Xi’an, China; State IJR Center of Aerospace Design and Additive Manufacturing, Northwestern Polytechnical University, Xi’an 710072, ChinaState IJR Center of Aerospace Design and Additive Manufacturing, Northwestern Polytechnical University, Xi’an 710072, ChinaIMSIA, ENSTA-Paris, CNRS, CEA, EDF, Institut Polytechnique de Paris, 91120 Palaiseau, France; State IJR Center of Aerospace Design and Additive Manufacturing, Northwestern Polytechnical University, Xi’an 710072, ChinaThis paper presents an efficient structural optimization approach for shape memory alloys (SMAs) with respect to fatigue. In the proposed method, a nonparametric shape optimization approach based on optimality criteria is applied to change the structural configuration. The design optimization framework is accomplished by relying on commercially available software and tools. In addition, both low- and high-cycle fatigue criteria are used to compute the fatigue factor at each material point, indicating its degree of safeness with respect to fatigue. Meanwhile, a 3D constitutive model is utilized to predict, with good accuracy, the stabilized thermomechanical stress state of a SMA structure subjected to multiaxial nonproportional cyclic loading. Finally, numerical examples are tested to demonstrate the effectiveness of the proposed method. Keywords: Shape memory alloys, Fatigue, Structural optimizationhttp://www.sciencedirect.com/science/article/pii/S0264127519308949
spellingShingle Xiaojun Gu
Yinfeng Cao
Jihong Zhu
Jun Wang
Weihong Zhang
Ziad Moumni
Shape optimization of SMA structures with respect to fatigue
Materials & Design
title Shape optimization of SMA structures with respect to fatigue
title_full Shape optimization of SMA structures with respect to fatigue
title_fullStr Shape optimization of SMA structures with respect to fatigue
title_full_unstemmed Shape optimization of SMA structures with respect to fatigue
title_short Shape optimization of SMA structures with respect to fatigue
title_sort shape optimization of sma structures with respect to fatigue
url http://www.sciencedirect.com/science/article/pii/S0264127519308949
work_keys_str_mv AT xiaojungu shapeoptimizationofsmastructureswithrespecttofatigue
AT yinfengcao shapeoptimizationofsmastructureswithrespecttofatigue
AT jihongzhu shapeoptimizationofsmastructureswithrespecttofatigue
AT junwang shapeoptimizationofsmastructureswithrespecttofatigue
AT weihongzhang shapeoptimizationofsmastructureswithrespecttofatigue
AT ziadmoumni shapeoptimizationofsmastructureswithrespecttofatigue