Earthquakes and Structures

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Mechanics model of novel compound metal damper based on Bi-objective shape optimization

  • He, Haoxiang (Beijing Key Lab of Earthquake Engineering and Structural Retrofit, Beijing University of Technology) ;
  • Ding, Jiawei (Beijing Key Lab of Earthquake Engineering and Structural Retrofit, Beijing University of Technology) ;
  • Huang, Lei (Beijing Key Lab of Earthquake Engineering and Structural Retrofit, Beijing University of Technology)
  • Received : 2019.05.27
  • Accepted : 2022.10.24
  • Published : 2022.10.25
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Abstract

Traditional metal dampers have disadvantages such as a higher yield point and inadequate adjustability. The experimental results show that the low yield point steel has superior energy dissipation hysteretic capacity and can be applied to seismic structures. To overcome these deficiencies, a novel compound metal damper comprising both low yield point steel plates and common steel plates is presented. The optimization objectives, including "maximum rigidity" and "full stress state", are proposed to obtain the optimal edge shape of a compound metal damper. The numerical results show that the optimized composite metal damper has the advantages such as full hysteresis curve, uniform stress distribution, more sufficient energy consumption, and it can adjust the yield strength of the damper according to the engineering requirements. In view of the mechanical characteristics of the compound metal damper, the equivalent model of eccentric cross bracing is established, and the approximate analytical solution of the yield strength and the yield displacement is proposed. A nonlinear simulation analysis is carried out for the overall aseismic capacity of three-layer-frame structures with a compound metal damper. It is verified that a compound metal damper has better energy dissipation capacity and superior seismic performance, especially for a damper with double-objective optimized shape.

Keywords

Acknowledgement

This work is partially supported by Natural Science Foundation of China under Grant nos. 51878017, and National Key R&D Program of China under Grant nos. 2017YFC1500604.

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