多質点系構造物モデルにおける遺伝的アルゴリズムによる免震装置の最適選択計画 : その1 基礎免震の場合

概要

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This study proposes an optimal selection method for base-isolation devices using a genetic algorithm which considers the superstructure's response. When the superstructure's horizontal stiffness is relatively low, the superstructure cannot be treated as a rigid mass. Therefore, the superstructure is modeled as shear mode multi-mass system. Parameters in the genetic algorithm's evaluation functions are: A) eccentricity ratio, B) vertical load on each isolator, C) natural period, D) yield shear force coefficient of base isolation device,E) storey shear force coefficient and F)base isolation displacement. We employed two groups of parameters: (1) A-B-C-D, (2) A-B-E-F. We did time history response analyses with buildings designed by the proposed method. As a result of the analyses, the maximum peak accelerations of superstructure were suppressed using parameters group (2). Therefore the proposed method was effective in selecting base isolation devices.
2005-02-28