210 半正定値計画法を用いた重複固有値を有するトラスのトポロジー最適化問題

Translated title of the contribution: Topology Optimization of Trusses for Specified Multiple Eigenvalue by using Semidefinite Programming

寒野 善博, 大崎 純, 藤澤 克樹, 加藤 直樹

Research output: Contribution to journalArticle

Abstract

Algorithms based on Semi-Definite Programming (SDP) are proposed for the truss topology optimization problems for specified fundamental eigenvalue of free vibration and linear buckling load factor, and optimal topologies of trusses are computed by using the Semi-Definite Programming Algorithm (SDPA). It is well known that optimizing structures for specified minimum eigenvalue is difficult because of non-differentiability of the minimum eigenvalue for the cases of multimodal solutions. It is shown, in the examples, that the proposed algorithms are applicable to multimodal cases.
Translated title of the contributionTopology Optimization of Trusses for Specified Multiple Eigenvalue by using Semidefinite Programming
Original languageJapanese
Pages (from-to)151-156
Number of pages6
Journal最適化シンポジウム講演論文集
Volume2000
Issue number0
DOIs
Publication statusPublished - 2000

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