主催: 一般社団法人 日本機械学会
会議名: 第12回最適化シンポジウム2016
開催日: 2016/12/06 - 2016/12/07
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.