Sensitivity and Uncertainty Analysis of One-Dimensional Tanaka and Liang-Rogers Shape Memory Alloy Constitutive Models

A shape memory alloy (SMA) can remember its original shape and recover from strain due to loading once it is exposed to heat (shape memory effect). SMAs also exhibit elastic response to applied stress above the characteristic temperature at which transformation to austenite is completed (pseudoelast...

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Main Authors: A. B. M. Rezaul Islam, Ernur Karadoğan
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Materials
Subjects:
Online Access:https://www.mdpi.com/1996-1944/12/10/1687
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author A. B. M. Rezaul Islam
Ernur Karadoğan
author_facet A. B. M. Rezaul Islam
Ernur Karadoğan
author_sort A. B. M. Rezaul Islam
collection DOAJ
description A shape memory alloy (SMA) can remember its original shape and recover from strain due to loading once it is exposed to heat (shape memory effect). SMAs also exhibit elastic response to applied stress above the characteristic temperature at which transformation to austenite is completed (pseudoelasticity or superelasticity). Shape memory effect and pseudoelasticity of SMAs have been addressed by several microscopic thermodynamic and macroscopic phenomenological models using different modeling approaches. The Tanaka and Liang-Rogers models are two of the most widely used macroscopic phenomenological constitutive models for describing SMA behavior. In this paper, we performed sensitivity and uncertainty analysis using Sobol and extended Fourier Amplitude Sensitivity Testing (eFAST) methods for the Tanaka and Liang-Rogers models at different operating temperatures and loading conditions. The stress-dependent and average sensitivity indices have been analyzed and are presented for determining the most influential parameters for these models. The results show that variability is primarily caused by a change in operating temperature and loading conditions. Both models appear to be influenced by the uncertainty in elastic modulus of the material significantly. The analyses presented in this paper aim to provide a better insight for designing applications using SMAs by increasing the understanding of these models’ sensitivity to the input parameters and the cause of output variability due to uncertainty in the same input parameters.
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spelling doaj.art-b8b471ffdc244ab7943b45d65aa670d12022-12-22T03:11:45ZengMDPI AGMaterials1996-19442019-05-011210168710.3390/ma12101687ma12101687Sensitivity and Uncertainty Analysis of One-Dimensional Tanaka and Liang-Rogers Shape Memory Alloy Constitutive ModelsA. B. M. Rezaul Islam0Ernur Karadoğan1Robotics and Haptics Lab, School of Engineering and Technology, Central Michigan University, Mount Pleasant, MI 48859, USARobotics and Haptics Lab, School of Engineering and Technology, Central Michigan University, Mount Pleasant, MI 48859, USAA shape memory alloy (SMA) can remember its original shape and recover from strain due to loading once it is exposed to heat (shape memory effect). SMAs also exhibit elastic response to applied stress above the characteristic temperature at which transformation to austenite is completed (pseudoelasticity or superelasticity). Shape memory effect and pseudoelasticity of SMAs have been addressed by several microscopic thermodynamic and macroscopic phenomenological models using different modeling approaches. The Tanaka and Liang-Rogers models are two of the most widely used macroscopic phenomenological constitutive models for describing SMA behavior. In this paper, we performed sensitivity and uncertainty analysis using Sobol and extended Fourier Amplitude Sensitivity Testing (eFAST) methods for the Tanaka and Liang-Rogers models at different operating temperatures and loading conditions. The stress-dependent and average sensitivity indices have been analyzed and are presented for determining the most influential parameters for these models. The results show that variability is primarily caused by a change in operating temperature and loading conditions. Both models appear to be influenced by the uncertainty in elastic modulus of the material significantly. The analyses presented in this paper aim to provide a better insight for designing applications using SMAs by increasing the understanding of these models’ sensitivity to the input parameters and the cause of output variability due to uncertainty in the same input parameters.https://www.mdpi.com/1996-1944/12/10/1687shape memory alloyTanaka modelLiang-Rogers modelsensitivity analysisuncertainty analysisSMAshape memory alloy constitutive models
spellingShingle A. B. M. Rezaul Islam
Ernur Karadoğan
Sensitivity and Uncertainty Analysis of One-Dimensional Tanaka and Liang-Rogers Shape Memory Alloy Constitutive Models
Materials
shape memory alloy
Tanaka model
Liang-Rogers model
sensitivity analysis
uncertainty analysis
SMA
shape memory alloy constitutive models
title Sensitivity and Uncertainty Analysis of One-Dimensional Tanaka and Liang-Rogers Shape Memory Alloy Constitutive Models
title_full Sensitivity and Uncertainty Analysis of One-Dimensional Tanaka and Liang-Rogers Shape Memory Alloy Constitutive Models
title_fullStr Sensitivity and Uncertainty Analysis of One-Dimensional Tanaka and Liang-Rogers Shape Memory Alloy Constitutive Models
title_full_unstemmed Sensitivity and Uncertainty Analysis of One-Dimensional Tanaka and Liang-Rogers Shape Memory Alloy Constitutive Models
title_short Sensitivity and Uncertainty Analysis of One-Dimensional Tanaka and Liang-Rogers Shape Memory Alloy Constitutive Models
title_sort sensitivity and uncertainty analysis of one dimensional tanaka and liang rogers shape memory alloy constitutive models
topic shape memory alloy
Tanaka model
Liang-Rogers model
sensitivity analysis
uncertainty analysis
SMA
shape memory alloy constitutive models
url https://www.mdpi.com/1996-1944/12/10/1687
work_keys_str_mv AT abmrezaulislam sensitivityanduncertaintyanalysisofonedimensionaltanakaandliangrogersshapememoryalloyconstitutivemodels
AT ernurkaradogan sensitivityanduncertaintyanalysisofonedimensionaltanakaandliangrogersshapememoryalloyconstitutivemodels