Seismic Damage Prediction of Multistory Brick Buildings based on RBF Neural Network Model

被引：0

作者：

Wang, Ling ^{[1
]}

Sun, Li ^{[2
]}

Kong, Dandan ^{[1
]}

Liu, Xiyuan ^{[1
]}

机构：

[1] Hebei Univ Technol, Civil Engn Coll, Tianjin 300130, Peoples R China

[2] Shenyang Jianzhu Univ, Shenyang 110168, Peoples R China

来源：

ADVANCES IN STRUCTURES, PTS 1-5 | 2011年 / 163-167卷

关键词：

Multistory brick buildings; Seismic damage prediction; RBF neural network;

D O I：

10.4028/www.scientific.net/AMR.163-167.4213

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Seismic damage prediction of multistory brick buildings is a multi-factor nonlinear complex problems, this paper analyzed the deficiencies of the traditional methods for predicting the seismic damage, so a prediction model of multistory brick buildings based on RBF Neural Network model is established, RBF network structure elements and parameters are studied and obtained. With examples the research proved that the prediction results are similar to the actual seismic damage to multistory brick buildings by the RBP neural network model, the analytic method and process discussed in this paper can also be applied to seismic damage prediction of brick buildings of urban earthquake disaster prevention planning.

引用

页码：4213 / +

页数：3