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Evaluation of Genetic Algorithms for Optimizing the Height-Wise Viscous Damper Distribution in Regular and Irregular Buildings

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Abstract

Supplemental passive dampers are generally considered as an effective tool for controlling the seismic response of multi-storey buildings. Given that the optimization of the placement of passive dampers in buildings can potentially lead to an improvement in structural performance or reduction in construction cost, an increasing number of studies have engaged in improving the damper placement strategies in buildings, including employing stochastic optimizations with genetic algorithms. Furthermore, many studies have been conducted to investigate the height-wise damper placement issues in regular buildings. Hence, the variation in the building stiffness, which potentially influences the optimization problem, is seldom addressed. In addition, the effectiveness of using genetic algorithms should be comprehensively evaluated while considering damper optimization in different structural arrangements. In this study, a benchmark model is established for assessing the height-wise damper optimization problem in irregular buildings. Furthermore, a systematic optimization framework that integrates seismic nonlinear time history analysis and genetic algorithms is proposed. The damper optimizations in regular and irregular buildings are comprehensively explored, and the performances of buildings under strong stochastic earthquakes are thoroughly studied. A few robust classical earthquakes are used to evaluate the seismic performance of benchmark buildings. The intermediate search process of evolutionary algorithms is explicitly assessed in terms of the searching ability. Finally, a comprehensive evaluation is conducted on the performance of genetic algorithms for optimizing damper distribution in regular and irregular buildings from a seismic perspective.

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Acknowledgements

We are grateful to Professor Theodore Karavasilis of the Steel Structures Research Group at the University of Patras for his assistance in performing computational analyses.

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Authors and Affiliations

  1. School of Civil Engineering and Engineering Management, Guangzhou Maritime University, 101 Hongshansan Road, Huangpu District, Guangzhou, Guangdong, China

    Xiameng Huang

  2. Department of Architectural Design, College of Engineering Science, Chonnam National University, 50 Daehak ro Yeosu-si, Jeonnam, 59626, Republic of Korea

    Jaehoon Bae

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  1. Xiameng Huang
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Correspondence to Jaehoon Bae.

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Huang, X., Bae, J. Evaluation of Genetic Algorithms for Optimizing the Height-Wise Viscous Damper Distribution in Regular and Irregular Buildings. Arab J Sci Eng 47, 12945–12962 (2022). https://doi.org/10.1007/s13369-022-06646-3

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  • DOI: https://doi.org/10.1007/s13369-022-06646-3

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