Earthquakes and Structures

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Bridges dynamic analysis under earthquakes using a smart algorithm

  • Chen, Z.Y. (School of Science, Guangdong University of Petrochemical Technology) ;
  • Meng, Yahui (School of Science, Guangdong University of Petrochemical Technology) ;
  • Wang, Ruei-yuan (School of Science, Guangdong University of Petrochemical Technology) ;
  • Chen, Timothy (California Institute of Technology)
  • Received : 2020.05.29
  • Accepted : 2022.10.11
  • Published : 2022.10.25
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Abstract

This work addresses the optimization controller design problem combining the AI evolution bat (EB) optimization algorithm with a fuzzy controller in the practical application of a reinforced concrete frame structure. This article explores the use of an intelligent EB strategy to reduce the dynamic response of Lead Rubber Bearing (LRB) composite reinforced concrete frame structures. Recently developed control units for plant structures, such as hybrid systems and semi-active systems, have inherently non-linear properties. Therefore, it is necessary to develop non-linear control methods. Based on the relaxation method, the nonlinear structural system can be stabilized by properly adjusting the parameters. Therefore, the behavior of a closed-loop system can be accurately predicted by determining the behavior of a closed-loop system. The performance and durability of the proposed control method are demonstrated by numerical simulations. The simulation results show that the proposed method is a viable and feasible control strategy for seismically tuned composite reinforced concrete frame structures.

Keywords

Acknowledgement

The authors are grateful for the research grants given to Ruei Yuan Wang from the Projects of Talents Recruitment of GDUPT, Peoples R China under Grant NO. 2019rc098, and the research grants given to ZY Chen from the Projects of Talents Recruitment of GDUPT (NO. 2021rc002) in Guangdong Province, Peoples R China.

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