Evaluation of appropriate behavioral models for numerical simulation of new Cu based shape memory alloy

Previous studies on shape memory alloys often related to one of the most usable type called Ni-Ti. However, many researchers are trying to find alternative alloys because of high cost and complex behavior of this alloy due to the high dependence of strain rate. The present study has been evaluated o...

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Autores principales:	Mehrsa Mirzahosseini, Mohsen Gerami
Formato:	article
Lenguaje:	FA
Publicado:	Iranian Society of Structrual Engineering (ISSE) 2017
Materias:	shape memory alloy behavioral models graesser-cozzarelli model fugazza model selfcentering Bridge engineering TG1-470 Building construction TH1-9745
Acceso en línea:	https://doaj.org/article/8590831a45ba4be4855af38dedd83290
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spelling	oai:doaj.org-article:8590831a45ba4be4855af38dedd832902021-11-08T15:46:54ZEvaluation of appropriate behavioral models for numerical simulation of new Cu based shape memory alloy2476-39772538-261610.22065/jsce.2016.41240https://doaj.org/article/8590831a45ba4be4855af38dedd832902017-12-01T00:00:00Zhttps://www.jsce.ir/article_41240_177e2fe4335adea4521962caf312bbe8.pdfhttps://doaj.org/toc/2476-3977https://doaj.org/toc/2538-2616Previous studies on shape memory alloys often related to one of the most usable type called Ni-Ti. However, many researchers are trying to find alternative alloys because of high cost and complex behavior of this alloy due to the high dependence of strain rate. The present study has been evaluated on properties of new alloy Cu-Al-Mn that has been introduced by Japanese researcher Araki. Also, it has been assessed ability of behavioral models for numerical simulation. The alloy with a superelasticity comparable to Ni–Ti alloys has more suitable cost and low dependence of strain rate. Based on properties of this alloy, the ability of three rate-independent model has been evaluated using; Graesser-Cozzarelli, Fugazza, Self-centering for numerical simulation. Despite the higher complexity of Graesser-Cozzarelli model compared to multilinear Fugazza and Self-centering models, Graesser-Cozzarelli model showed a more detailed description of material behaviour especially in points of transformation of two phases, because of the controller parameters. Also constant parameters of the model were developed to describe the behavior of a bar of 14 mm Cu-Al-Mn by trial and error process in MATLAB. The results of numerical simulation of the behavior of Cu-Al-Mn alloy in tension and pseudo-static test by two models Fugazza and self-centering showed that this model with its simplicity and lack of need for complex laboratory parameters has a good conformity with experimental results.Mehrsa MirzahosseiniMohsen GeramiIranian Society of Structrual Engineering (ISSE)articleshape memory alloybehavioral modelsgraesser-cozzarelli modelfugazza modelselfcenteringBridge engineeringTG1-470Building constructionTH1-9745FAJournal of Structural and Construction Engineering, Vol 4, Iss 4, Pp 5-15 (2017)
institution	DOAJ
collection	DOAJ
language	FA
topic	shape memory alloy behavioral models graesser-cozzarelli model fugazza model selfcentering Bridge engineering TG1-470 Building construction TH1-9745
spellingShingle	shape memory alloy behavioral models graesser-cozzarelli model fugazza model selfcentering Bridge engineering TG1-470 Building construction TH1-9745 Mehrsa Mirzahosseini Mohsen Gerami Evaluation of appropriate behavioral models for numerical simulation of new Cu based shape memory alloy
description	Previous studies on shape memory alloys often related to one of the most usable type called Ni-Ti. However, many researchers are trying to find alternative alloys because of high cost and complex behavior of this alloy due to the high dependence of strain rate. The present study has been evaluated on properties of new alloy Cu-Al-Mn that has been introduced by Japanese researcher Araki. Also, it has been assessed ability of behavioral models for numerical simulation. The alloy with a superelasticity comparable to Ni–Ti alloys has more suitable cost and low dependence of strain rate. Based on properties of this alloy, the ability of three rate-independent model has been evaluated using; Graesser-Cozzarelli, Fugazza, Self-centering for numerical simulation. Despite the higher complexity of Graesser-Cozzarelli model compared to multilinear Fugazza and Self-centering models, Graesser-Cozzarelli model showed a more detailed description of material behaviour especially in points of transformation of two phases, because of the controller parameters. Also constant parameters of the model were developed to describe the behavior of a bar of 14 mm Cu-Al-Mn by trial and error process in MATLAB. The results of numerical simulation of the behavior of Cu-Al-Mn alloy in tension and pseudo-static test by two models Fugazza and self-centering showed that this model with its simplicity and lack of need for complex laboratory parameters has a good conformity with experimental results.
format	article
author	Mehrsa Mirzahosseini Mohsen Gerami
author_facet	Mehrsa Mirzahosseini Mohsen Gerami
author_sort	Mehrsa Mirzahosseini
title	Evaluation of appropriate behavioral models for numerical simulation of new Cu based shape memory alloy
title_short	Evaluation of appropriate behavioral models for numerical simulation of new Cu based shape memory alloy
title_full	Evaluation of appropriate behavioral models for numerical simulation of new Cu based shape memory alloy
title_fullStr	Evaluation of appropriate behavioral models for numerical simulation of new Cu based shape memory alloy
title_full_unstemmed	Evaluation of appropriate behavioral models for numerical simulation of new Cu based shape memory alloy
title_sort	evaluation of appropriate behavioral models for numerical simulation of new cu based shape memory alloy
publisher	Iranian Society of Structrual Engineering (ISSE)
publishDate	2017
url	https://doaj.org/article/8590831a45ba4be4855af38dedd83290
work_keys_str_mv	AT mehrsamirzahosseini evaluationofappropriatebehavioralmodelsfornumericalsimulationofnewcubasedshapememoryalloy AT mohsengerami evaluationofappropriatebehavioralmodelsfornumericalsimulationofnewcubasedshapememoryalloy
_version_	1718441678634745856

Evaluation of appropriate behavioral models for numerical simulation of new Cu based shape memory alloy

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