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关于改进中国规范中土液化判别准则的建议
引用本文:符圣聪,江静贝. 关于改进中国规范中土液化判别准则的建议[J]. 岩土工程学报, 2011, 0(1)
作者姓名:符圣聪  江静贝
作者单位:中国建筑科学研究院工程抗震研究所;
摘    要:基于BP网络的人工神经元模型和可靠度理论,建立极限状态的抗液化阻力比函数和液化概率函数。沿用原抗震规范中液化标准贯入锤击数基准值概念,建立了简化的液化判别概率方法。该法以液化标准贯入锤击数作为估计液化势的基本依据。基准值是给定地面加速度、土层埋深、地下水位的液化临界锤数,也与震级大小和液化概率有关。为了对不同震级和土层中任一点进行液化判别,引入土层埋深水位以及震级大小对基准值的修正系数。为了方便工程应用,也给出了按地震分组的液化判别方法。

关 键 词:神经网络模型  液化  可靠度  标准贯入锤击数基准值  

Suggestions for improving criteria of soil liquefaction in China's code
FU Sheng-cong,JIANG Jing-bei. Suggestions for improving criteria of soil liquefaction in China's code[J]. Chinese Journal of Geotechnical Engineering, 2011, 0(1)
Authors:FU Sheng-cong  JIANG Jing-bei
Affiliation:FU Sheng-cong,JIANG Jing-bei(China Academy of Building Research,Beijing 100013,China)
Abstract:Based on ANN model and reliability theory the limit state function of liquefaction and the probability function of liquefaction are established.In terms of the reference value of SPT in China code a simplified probabilistic procedure for liquefaction evaluation is proposed.The assessment of soil liquefaction potential is based on the liquefied reference value of SPT which is the liquefaction critical value of SPT for given ground acceleration,the depth of soil layers and ground water levels,and is also rela...
Keywords:artificial neural network(ANN)  liquefaction  reliability index  reference value of SPT  
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