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Numerical simulation of restoring force of superelastic shape memory alloy helical spring
庄鹏12 薛素铎3 韩淼12 刘雨冬12
1. 北京建筑大学 土木与交通工程学院, 北京 100044;
2. 北京建筑大学 工程结构与新材料北京高等学校工程研究中心, 北京 100044;
3. 北京工业大学 建筑工程学院, 北京 100124
ZHUANG Peng12 XUE Suduo3 HAN Miao12 LIU Yudong12
1. School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;
2. Beijing University of Civil Engineering and Architecture Beijing Higher Institution Engineering Research Center of Structural Engineering and New Materials, Beijing 100044, China;
3. College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China
shape memory alloy (SMA)superelasticityhelical springrestoring force modelnumerical simulation
Shape memory alloys (SMAs) have greatly attracted much attention as intelligent material that can be use in passive control devices in recent years. To reduce seismic response of civil structures, some researchers proposed isolators and dampers with SMA wires. The large-scale SMA helical spring is a type of smart damper with an important capacity in reaching large elongation. However, studies on the superelastic spring for seismic protection of structures have not been reported widely up to now. Based on the stress-strain constitutive model of SMA developed by Liang and Rogers, a new macroscopic model is established to facitliate the application of SMA springs to practical engineering. Numerical studies are carried out by using Matlab program to verify the feasibility and accuracy of the proposed model. The investigation results show that the superelastic SMA springs exhibit excellent capacity of re-centering and energy dissipation. Also, the numerical results from such a new analytical model match the experimental reults of other researchers very well. In summary, the presented modeling scheme can be utilized to closely capture the mechanical behavior of the SMA springs and immediately implemented in current versions of structural analysis software.


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基金项目:北京市自然科学基金资助项目(8132024); 北京市优秀人才培养资助项目(2011D005017000006)
更新日期/Last Update: 1900-01-01