RESEARCH ARTICLE

Topology optimization of transient problem with maximum dynamic response constraint using SOAR scheme

  • Kai LONG , 1 ,
  • Xiaoyu YANG 1 ,
  • Nouman SAEED 1 ,
  • Ruohan TIAN 1 ,
  • Pin WEN 2 ,
  • Xuan WANG 3
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  • 1. State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
  • 2. Hubei Key Laboratory of Theory and Application of Advanced Materials Mechanics, School of Science, Wuhan University of Technology, Wuhan 430070, China
  • 3. Department of Engineering Mechanics, Hefei University of Technology, Hefei 230009, China

Received date: 03 Jan 2021

Accepted date: 01 Mar 2021

Published date: 15 Sep 2021

Copyright

2021 Higher Education Press

Abstract

This paper proposes a novel method for the continuum topology optimization of transient vibration problem with maximum dynamic response constraint. An aggregated index in the form of an integral function is presented to cope with the maximum response constraint in the time domain. The density filter solid isotropic material with penalization method combined with threshold projection is developed. The sensitivities of the proposed index with respect to design variables are conducted. To reduce computational cost, the second-order Arnoldi reduction (SOAR) scheme is employed in transient analysis. Influences of aggregate parameter, duration of loading period, interval time, and number of basis vectors in the SOAR scheme on the final designs are discussed through typical examples while unambiguous configuration can be achieved. Through comparison with the corresponding static response from the final designs, the optimized results clearly demonstrate that the transient effects cannot be ignored in structural topology optimization.

Cite this article

Kai LONG , Xiaoyu YANG , Nouman SAEED , Ruohan TIAN , Pin WEN , Xuan WANG . Topology optimization of transient problem with maximum dynamic response constraint using SOAR scheme[J]. Frontiers of Mechanical Engineering, 2021 , 16(3) : 593 -606 . DOI: 10.1007/s11465-021-0636-4

Acknowledgements

The authors acknowledge the financial support from the National Natural Science Foundation of China (Grant No. 11902232).
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