レベルセット法に基づくロバストトポロジー最適設計のパラメータがロバスト最適形態におよぼす影響について

概要

論文の詳細を見る
The robust topology optimization method integrates the level set-based topology optimization that introduces fictitious interface energy to regularize the optimization problem and the sensitivity-based robust optimization method that the objective function is formulated as the weighted sum of the mean value and the standard deviation of the compliance energy. Accordingly, the robust topology optimization method has two parameters, the regularization parameter and the weighting factor. This study investigates the effects of the two parameters of the level set-based robust topology optimization method on the structural configurations of the optimum designs and values of objective function through numerical examples.