機械学習を用いた単層ラチスシェルの非線形座屈荷重の予測および構造最適化

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  • PREDICTION OF NONLINEAR BUCKLING LOAD AND STRUCTURAL OPTIMIZATION OF SINGLE-LAYER LATTICE SHELLS USING MACHINE LEARNING

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<p>In this paper, prediction models of the nonlinear buckling load calculated by the geometric nonlinear analysis are constructed by supervised machine learning for lattice shells composed of steel pipes. Then, structural optimization was performed using the obtained prediction models. Specifically, shell shapes with high nonlinear buckling loads are generated in realistic computational time by solving optimization problems in which nonlinear buckling load calculations are replaced by the obtained prediction models. The effectiveness of the proposed method is verified through several numerical examples.</p>

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