ACCURACY ANALYSIS OF METHOD THAT USED DEEPLEARNING FOR BUILDING DAMAGE SHORTLY AFTER AN EARTHQUAKE AND IMPACT ANALYSIS OF EARTHQUAKE SHAKE CHARACTERSTICS

Abstract

After-earthquake assessment of building in terms of safety and usability is performed by technicians who give their judgement based on in-field surveys and visual inspections. In this study, an efficient method is proposed for building damage detection and structural health monitoring system is introduced. A simulation was conducted using past observed earthquakes and the acceleration data of each floor is obtained. The data is divided into train set and test set. Train set is used to train a neural network which predicts each floor damage in 3 levels and test set is used for evaluating model. Also, seismic wave characteristics were investigated using principal component analysis.