제한된 정보를 이용한 저층 건물 구조물의 지진 응답 예측 기법 개발을 위한 해석적 연구

Abstract

There are increasing cases of monitoring the structural response of structures using multiple sensors. However, owing to cost andmanagement problems, limited sensors are installed in the structure. Thus, few structural responses are collected, which hinders analyzing thebehavior of the structure. Therefore, a technique to predict responses at a location where sensors are not installed to a reliable level usinglimited sensors is necessary. In this study, a numerical study is conducted to predict the seismic response of low-rise buildings using limitedinformation. It is assumed that the available response information is only the acceleration responses of the first and top floors. Using bothinformation, the first natural frequency of the structure can be obtained. The acceleration information on the first floor is used as the groundmotion information. To minimize the error on the acceleration history response of the top floor and the first natural frequency error of thetarget structure, the method for predicting the mass and stiffness information of a structure using the genetic algorithm is presented. However,the constraints are not considered. To determine the range of design variables that mean the search space, the parameter prediction methodbased on artificial neural networks is proposed. To verify the proposed method, a five-story structure is used as an example.