鋼構造骨組のブレース配置の組合せ最適化

抄録

A combinatorial approach using simulated annealing is presented for optimization of types and placements of braces in steel frames for seismic strengthening of building structures. Machine learning approaches based on decision tree and support vector machine are also utilized to predict the decent and feasible solutions during optimization and to reduce the number of evaluations of mechanical properties of solutions. It is shown in numerical examples that the performances such as story drift, volume and maximum stress in the existing beams and columns can be improved by optimizing the types and placements of braces.