基于神经网络理论的房屋两级抗震鉴定法  

Evaluating Aseismatic Design of Old Buildings by Using ANN Analysis

作　　者：姚金星[1] 刘功利[1] 马成松[1] 

机构地区：[1]江汉石油学院建筑工程系,湖北荆州434102

出　　处：《江汉石油学院学报》2000年第1期31-34,共4页Journal of Jianghan Petroleum Institute

基　　金：中国石油天然气集团公司资助

摘　　要：针对未考虑抗震设防的旧有房屋存在的抗震问题 ,在常用抗震鉴定方法的基础上 ,应用神经网络理论 ,提出了一种新的房屋两级抗震鉴定法。其中一级鉴定主要对房屋的抗震性能作出鉴定 ,二级鉴定以抗震验算为主、结合构造影响进行综合评价。鉴定实例表明 ,这种鉴定方法是行之有效的。There are problems arisen in the region where old buildings are not taking preventive measures against earthquake A new two step method for evaluating aseismatic old buildings is proposed based on common methods to evaluate aseismatic capability The first step is to evaluate the earthquake resistance of buildings and another is to check computations in consideration of structure influence The example given shows that the new evaluation method is effective in practice

关 键 词：房屋结构 抗震设计 神经网络 抗震鉴定 

分 类 号：TU352.110.3[建筑科学—结构工程]