A Fisher discriminant method for seismic damage of buildings based on preliminary judgment from remote sensing
After a destructive earthquake,quickly and accurately predicting the damage degree of buildings is of great importance to quickly and scientifically carry out earthquake emergency com-mand and rescue force deployment.Existing building seismic damage prediction models yield im-precise evaluation results,struggle with data acquisition,and require a large amount of compu-ting power;therefore,they are difficult to construct and lack universality.To address these is-sues,this paper proposes a Fisher discriminant method for seismic damage of buildings based on preliminary judgment from remote sensing.First,four seismic damage factors,including magni-tude,epicentral distance,site condition,and seismic resistance of the building,were selected as the discriminant factors.Then,based on the discriminant analysis theory,the Fisher discriminant model of building damage was constructed.Finally,the method proposed in this paper was veri-fied by taking the Luxian M6.0 earthquake as an example.The experimental results show that the prediction results of the proposed method closely align with the actual earthquake damage,with an accuracy rate of 80％,which proves that this method is highly accurate,reliable,and can ac-curately predict the earthquake damage degree of buildings.
preliminary judgment from remote sensingbuildingsseismic damage predictionFisher discriminant methodLuxian earthquake
万方数据
维普
