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GLOBAL OPTIMIZATION OF HYSTERETIC DAMPERS FOR ELASTIC-PLASTIC MDOF STRUCTURES VIA HYBRID APPROACH OF REAL-CODED GENETIC ALGORITHM AND LOCAL SEARCH

The purpose of this paper is to propose a new optimal design method of hysteretic dampers for elastic-plastic MDOF structures using the real-coded genetic algorithm (GA) and local search. In the application of the crossover procedure in the real-coded GA, the sum of damper damping coefficients is kept constant. This constraint enables an efficient search for the solution. In the real-coded GA, design variable vectors are directly treated to create new individuals and the binary expression is not required. The proposed method can deal with elastic-plastic responses directly in time-domain and lead to designs with high reliability. The purpose of this paper is to propose a new optimal design method of hysteretic dampers for elastic-plastic MDOF structures using the real-coded genetic algorithm (GA) and local search. In the application of the crossover procedure in the real-coded GA, the sum of damper damping coefficients is kept constant. This constraint enables an efficient search for the solution. In the real-coded GA, design variable vectors are directly treated to create new individuals and the binary expression is not required. The proposed method can deal with elastic-plastic responses directly in time-domain and lead to designs with high reliability. Hysteretic dampers have been widely used as effective passive dampers installed at interstories since they are inexpensive compared with other types of passive dampers. It is well known that added stiffness of hysteretic dampers increases floor acceleration responses. However, they are effective for pulse-like ground motions with sudden input and short duration.