A Study on the Nonlinear Modeling of Base Isolator Systems by a Neural Network Theory : Application to Lead Rubber Bearings

신경망 이론을 이용한 지진격리 장치의 비선형 모델링 기법 연구 : 납삽입 적층 고무베어링에 적용한 예

In this paper, a study on the nonlinear modeling of lead rubber bearings(LRBs) by a neural network theory was carried out. The random tests on the LRB were used for a training of neural network model. Numerical simulations using the neural network model were peformed on a scaled structural model with the LRBs excited by three type of seismic loads and compared with the shaking table tests. As a result, it was shown that the neural network model would be useful to a numerical modeling of LRB.