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唐山市地震影响系数分布研究
引用本文:朱庆杰,王绍杰,苏幼坡.唐山市地震影响系数分布研究[J].防灾减灾工程学报,2005,25(2):199-204.
作者姓名:朱庆杰  王绍杰  苏幼坡
作者单位:河北理工大学地震工程研究中心,河北唐山,063009;河北理工大学地震工程研究中心,河北唐山,063009;河北理工大学地震工程研究中心,河北唐山,063009
基金项目:国家计委科技攻关项目;河北省科学技术研究与发展计划
摘    要:地震影响系数是构建地震反应谱的最重要参数之一,也是抗震房屋设计和减灾的基础,唐山市地震影响系数的分布受到场地条件、基岩条件和特殊地质现象等诸多因素的共同影响。通过分析唐山市地震影响系数分布的主要影响因素,得到影响唐山市地震影响系数分布的主要指标。考虑各指标与地震影响系数之间的非线性关联关系,应用人工神经网络方法构建了唐山市地震影响系数分布预测模型。根据实际资料,确定了模型的参数和多个系数矩阵,计算和分析了综合考虑场地和基岩等诸多条件的唐山市地震影响系数分布,并对唐山市的抗震设防规划提出了几点建议。

关 键 词:地震影响系数  反应谱  神经网络  唐山  地震小区划
文章编号:1672-2132(2005)02-0199-06
修稿时间:2004年9月20日

Investigation of Earthquake Influence Coefficient Distributed in Tangshan City Based on ANN
ZHU Qing-jie,WANG Shao-jie,SU You-po.Investigation of Earthquake Influence Coefficient Distributed in Tangshan City Based on ANN[J].Journal of Disaster Prevent and Mitigation Eng,2005,25(2):199-204.
Authors:ZHU Qing-jie  WANG Shao-jie  SU You-po
Abstract:Earthquake influence coefficient is one of the most important factors of earthquake micro-zoning, which is the basis of earthquake-proof building design and disaster reduction. Distribution of earthquake influence coefficient is controlled by site condition, basement rock condition, and special geological condition, etc.. More attentions have been paid on site condition, but less on basement rock condition or special geological condition. The big earthquake in Tangshan city resulted in 243,000 lives lost in 1976, therefore, high attentions are paid to earthquake disaster resistance, and accurately calculation of earthquake influence coefficient is necessary for city planning and earthquake-proof building design. According to the condition of Tangshan city, distribution of basement rock fracture is calculated based on Griffith criteria, and controlling factors of the distribution of earthquake influence coefficient are discussed. Relativities among earthquake influence coefficient, site condition, basement rock condition and special geological condition are analyzed. It was found from results that the distribution of earthquake influence coefficient in Tangshan city are mainly controlled by displacement, fracture probability, site category and physiognomy. Because the relativities are complicated, predictive model is constructed based on artificial neural network, and distribution of earthquake influence coefficient in Tangshan city is calculated precisely. After repeated calculating of 197,012 times, precise results are obtained. Earthquake influence coefficient is larger than 0.48 in southeast of Tangshan city and even larger than 0.64 in some local regions. Also, it was found that earthquake influence coefficient diminishes gradually from southeast to northwest. Finally, the influence of earthquake influence coefficient distribution on city planning and engineering construction are analyzed and some advice are proposed.
Keywords:Earthquake influence coefficient  response spectra  neural network  Tangshan  earthquake micro-zoning
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