A Robust Shifting Balance Genetic Algorithm for Topology Optimization of Torsionally Sensitive High-rise Buildings
Modern tall buildings are getting more and more irregular and complex in shape.During earthquakes, these buildings may vibrate in a lateral torsional manner with significant swaying and twisting, leading to increased deflection, increased structural damage and a higher risk of building collapse.In this paper, a robust evolutionary optimization is presented for seeking the optimal structural topology to best resist lateral-torsional motions of torsionally sensitive buildings under seismic excitations.By incorporating the Sewall Wright’s shifting balance (SB) theory of evolution into the hybrid Optimality Criteria Genetic Algorithm (OCGA), a new hybrid OC-SBGA method is developed to improve the robustness of the evolutionary algorithm in searching the optimal topology and element sizing design of tall asymmetric buildings.A three-dimensional 34-story residential building is used to demonstrate the effectiveness and robustness of the hybrid OC-SBGA method.Results indicate that the proposed method is capable of not only significantly reducing seismic torsional effects in lateral-torsional coupling responses, but also repeatedly attaining the same optimal topology design among different independent optimization runs.
Topology optimization shifting balance theory hybrid genetic algorithm torsional irregularity
C.F.Yiu C.M.Chan G.Li
Dept.of Civil and Environmental Engineering,Hong Kong University of Science and Technology,Hong Kong Dept.of Engineering Mechanics,Dalian University of Technology,Dalian,China
国际会议
黄山
英文
1-9
2012-06-18（万方平台首次上网日期，不代表论文的发表时间）