Efficient analysis and evolutionary optimization of passive control system for building structures

Despite promising development in the optimization of passive control system in building structures, recent research efforts usually consider two-dimensional plane frame structures using lumped mass models. As buildings are threedimensional in geometry, it is necessary to carry out the optimization in three dimensions rather than in two dimensions. In this study, three-dimensional building structures are represented in a more realistic pattern by using threedimensional finite element models rather than lumped mass models. Dynamic analysis of such three-dimensional finite element models added with passive damping devices is studied first. Genetic algorithm is then used to determine the optimal configuration of passive control system. A numerical example of an irregular three-dimensional building frame structure presented demonstrates that an effective computational framework for the optimization of passive control system in three-dimensional buildings is established in this study by combining the versatile genetic algorithm and efficient dynamic analysis methods.