NiTi形状记忆合金丝的约束回复应力输出特性及本构模型

doi:10.11896/cldb.19050092

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Abstract In order to promote the application of the shape memory alloy (SMA) as an intelligent driving material in the field of engineering structure, the effect of pre-strain and thermal cycle times on the constrained recovery stress-temperature curve, maximum constrained recovery stress, inverse phase transition characteristic temperature, phase transition temperature range and phase transition hysteresis temperature range of Ti-50.8wt% Ni SMA wires were studied. Based on the experimental data set, the hysteresis model of BP neural network (neural network algorithm trained according to error reverse propagation) with temperature and complete thermal cycle times as input and constrained recovery stress as output was established. The results show that the maximum constrained recovery stress and the characteristic temperature of martensite reverse transformation increase with the increase of pre-strain. In the first thermal cycle, NiTi SMA wire with 6% pre-strain exhibits the highest constrained recovery stress and the highest characteristic temperature of reverse variation. After five times of thermal cycle, the recovery stress-temperature curve of NiTi SMA wire gradually reached stability. The numerical results of neural network hysteresis model are in good agreement with the experimental data, and the mean absolute error of the calculated results is less than 5%.The hysteresis model of BP network is simple, pratical and accurate, and has certain engineering guiding significance.

Key words： shape memory alloy shape memory effect constrained recovery stress phase transition characteristic temperature phase transformation hysteresis BP neural network

Published: 26 April 2020

CLC number:

TG139.6

Fund:This work was financially supported by the National Natural Science Foundation of China (51678480), Basic Research Plan of Natural Science in ShaanxiProvince, China (2019JQ-578), Project of Education Bureau of Shaanxi Province, China (18JK0332), Scientific Research Project of Key Laboratory of Shaanxi Education Bureau, China (17JS071), Key Laboratory Project of Shaanxi Science and Technology Coordinating Innovation Project, China (2014SZS04-P04) .

Corresponding Authors: Sheliang Wang, a professor and doctoral supervisor of Xi'an University of Architecture and Technology. He is mainly engaged in research on smart materials and intellgent structural systems. He is currently the director of the Anti-seismic and Disaster Prevention Branch of China Architecture Society, the vice-chairman of the China Infrastructure Optimization Research Institute Structural Engineering Specialized Committee, “Sanqin Talents” in Shaanxi Province, a review expert of the National Natural Science Foundation, the Post-doctoral Foundation and the Shaanxi Natural Science Foundation. He presided over one of the major research projects of the National Natural Science Foundation of China, one of the 973 pre-research projects, one of the 973 sub-projects, one of the key project of the National Natural Science Foundation of China and five projects on the National Natural Science Foundation of China. He has published more than 300 papers in academic journals at home and abroad, of which more than 180 have been included in SCI or EI.

About author:: Bo Liu, a Ph.D. student in structural engineering of the College of Civil Engineering, Xi'an University of Architecture and Technology, and he is conducting research under the guidance of Professor Wang Sheliang. At present, the main research field is the smart mate-rials/structure and vibration control.

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	LIU Bo
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Cite this article:

LIU Bo,WANG Sheliang,HE Lu, et al. Constrained Recovery Stress Output Characteristics and Construction of Constitutive Model of NiTi Shape Memory Alloy Wire[J]. Materials Reports, 2020, 34(10): 10082-10087.

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http://www.mater-rep.com/EN/10.11896/cldb.19050092 OR http://www.mater-rep.com/EN/Y2020/V34/I10/10082

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