【摘要】 最大地震影响系数,即水平地震影响系数最大值,是水平地震反应谱曲线中的重要参数,也是结构抗震计算的基础。建筑抗震设计规范中仅考虑了场地条件的影响,而最大地震影响系数的分布受到场地和基岩条件等多种因素的共同制约。为了精确计算最大地震影响系数在城市范围内的分布,基于人工神经网络方法构建了最大地震影响系数的计算模型,从而使最大地震影响系数由一个参数转变为地理空间分布的变量。唐山在1976年曾发生导致24万人死亡的大地震,对建筑抗震设计也给予了特别重视,因此以唐山市为例进行了实例计算。依据实际资料,计算了唐山市不同场地分区的最大地震影响系数分布。分析了最大地震影响系数与场地的对应关系,并提出几点认识和建议。更多还原

【Abstract】 The maximum lateral earthquake effect coefficient is a main design parameter in the curve of earthquake response spectra,and is also the key of design of earthquake resistant structures.In the Code for seismic design of buildings of national standard of China,only site condition is considered to calculate the maximum of lateral earthquake effect coefficient,and in fact,the distribution of the maximum earthquake effect coefficient is controlled by both basement rock and site condition.In order to accurately calculate the distribution of the maximum earthquake response spectra in cities,a calculating model is constructed on the basis of artificial neural network(ANN),which makes the parameter(the maximum earthquake effect coefficient) become a variable which is distributed in geographical space.In Tangshan City,the calamitous earthquake in 1976 deprived 243,000 people’s lives,and more attention has been paid to the design of earthquake resistant structures.Therefore,Tangshan City is selected as an example of application.According to the geological data,the distribution of the maximum of earthquake effect coefficient with different site condition in Tangshan City is calculated,the corresponding relation between the maximum earthquake effect coefficient and site condition is analyzed,and some advices are proposed.更多还原