最適化シンポジウム講演論文集
Online ISSN : 2424-3019
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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
寒野 善博大崎 純藤澤 克樹加藤 直樹
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p. 151-156

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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.

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