DEVELOPMENT OF A SUPPORTING SYSTEM FOR RESTORATION OF SEISMICALLY DAMAGED BUILDINGS

Abstract

Objective of this study is to develop a supporting system for Quick Inspection and restoration of seismically damaged buildings. This system consists of several functions such as gathering earthquake information, analyzing seismic response of buildings, predicting damaged area, and transmitting damage information through Web-GIS. Update technique based on Neural Network was proposed to modify the results from theoretical prediction of seismic response analysis. Simulations using damage data from recent great earthquakes were conducted. Results showed that this system is effective to the future practical use.