建筑物震害预测方法研究  

Study on concrete structure earthquake damage prediction method

作　　者：梁永朵[1] 姜金征[1] 李莹[1] 蒋越[1] 惠杨 

机构地区：[1]辽宁省地震局,辽宁沈阳110034

出　　处：《华北科技学院学报》2015年第1期112-117,共6页Journal of North China Institute of Science and Technology

基　　金：建筑物震害损失预测方法研究(LZ201205);辽宁省地震烈度速报关键技术研究与实现(LNDZBSJJ002)

摘　　要：我国是世界上地震灾害最严重的国家之一。建筑物震害是最主要的地震灾害,对建筑物震害的有效预测是地震灾害防御和地震应急救援的重要内容。本文基于地震应急基础数据库,提出影响建筑物震害损失的7个主要因子,以汶川地震中40栋建筑物为样本,采用BP神经网络方法进行分析研究,输出结果与实际震害基本一致。China is one of the worst earthquake disasters in the world. Building damage is the major earth quake disaster, building damage prediction is important in earthquake disaster prevention and earthquake e mergency rescue. Based on earthquake emergency basic database, 7 factors influencing building damage were put forward, 40 buildings in Wenchuan earthquake as sample, using BP neural network method, the output results almost consistent with the actual seismic damage.

关 键 词：建筑物 震害预测 神经网络 

分 类 号：TU352.11[建筑科学—结构工程]