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IASS 2016 Tokyo Symposium: Spatial Structures in the 21st Century


IASS Symposium 2016

SESSION: Seismic Analysis, Behavior & Design

Optimal damper distribution for seismic retrofit by using Hybrid Genetic Algorithm implementing non-linear response analysis

< Table of Contents for Seismic Analysis, Behavior & Design
  • Proceedings Name: IASS 2016 Tokyo Symposium: Spatial Structures in the 21st Century
  • ISSN: (Electronic Version) 2518-6582
  • Session: Seismic Analysis, Behavior & Design
  • Pages: 10
  • Title: Optimal damper distribution for seismic retrofit by using Hybrid Genetic Algorithm implementing non-linear response analysis
  • Author(s): Kazuhiro Fujishita, Fatih Sutcu, Ryota Matsui, Toru Takeuchi
  • Keywords: structural optimization, hybrid genetic algorithm, response control retrofit, existing RC building, non-linear time-history analysis, arrangement of displacement dependent type damper
Abstract
In this study, a method to determine elasto-plastic damper distribution in RC buildings by employing hybrid-GA in dynamic response analysis program with the multi degree of freedom shear spring model is proposed. Hybrid-GA includes Simple Genetic Algorithm (SGA) and the Hill-climbing method for local search. It is observed that the obtained optimal damper distribution shape for each seismic wave were almost identical on each model. Previously, the authors proposed a damper distribution method of the response control retrofit for RC buildings by using equivalent linearization (EL method). Finally, the comparison of the results for the proposed optimization method with hybrid-GA and the EL method is represented and the effectiveness of damper distribution with EL method is validated.

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