最適化シンポジウム講演論文集
Online ISSN : 2424-3019
セッションID: 1213
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骨組の幾何学的非線形解析に対する加速勾配法
藤田 慎之輔寒野 善博大崎 純
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A new method of geometrically nonlinear analysis of large-scale framed structures are proposed in this paper by using accelerated-gradient-method (AGM). AGM has attracted attention in recent years as an effective method for large-scale unconstrained single-objective optimization problem especially in the field of machine learning. A geometrically nonlinear analysis can be formulated as a total potential energy minimization problem. In this study, AGM is adopted for solving the total potential energy minimization problem efficiently in order to solve a geometrically nonlinear analysis at higher speed.

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