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地震荷载下土层变形等级预测方法研究
引用本文:亓金磊,孙锐.地震荷载下土层变形等级预测方法研究[J].世界地震工程,2021,0(1):189-197.
作者姓名:亓金磊  孙锐
作者单位:中国地震局工程力学研究所,中国地震局地震工程与工程振动重点实验室,黑龙江 哈尔滨 150080
摘    要:以计算结果可靠的土层反应结果为基础数据,基于随机森林算法(Random Forest,简称“RF”),建立地震动、场地土层参数特征量与土层变形特征的关系,提出一种依据常规地震动和场地土层参数为特征量的地震荷载下土层变形等级预测新方法,给出了典型场地土体发生大应变的地震动阈值。结果表明:基于RF模型对土体的变形程度预测结果较为理想,各项评价指标始终保持一个较高水平;对于软土、中硬土及硬土场地,输入地震动分别大于0.05 g、0.15 g及0.19 g时,将产生大应变。同时,本文方法可在不进行土层地震反应数值模拟的情况下,得到场地各土层的剪应变等级,为强地震作用下土体实际力学状态的界定和认识提供新的分析手段,而且也可为地下结构抗震设计问题提供指导和参考。

关 键 词:土层变形  土层地震反应  等级预测  随机森林

Research on prediction method of soilstrain level under seismic load
QI Jinlei,SUN Rui.Research on prediction method of soilstrain level under seismic load[J].World Information On Earthquake Engineering,2021,0(1):189-197.
Authors:QI Jinlei  SUN Rui
Affiliation:Key Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, China
Abstract:In this paper, the reliable results of soil layer reaction are taken as the basic data. Based on Random Forest (RF) algorithm, the relationship between ground motion, soil parameters and soil deformation characteristics is established, and a new method for predicting soil strain grade under seismic load is proposed. The threshold of ground motion causing large strain of soil in typical site is given. The results show that the prediction of soil deformation based on RF model is satisfactory, and the evaluation indexes are always kept at a high level. For soft soil, medium-hard soil and hard soil, when the input ground motion is greater than 0.05 g, 0.15 g, 0.19 g respectively, the soil layer will be in large strain states. At the same time, this method can be used to obtain the shear strain grades of soil layers without the numerical simulation of seismic response of soil layers, which provides a new analysis method for the definition and understanding of actual mechanical state of soil mass under strong earthquake. It also can provide guidance and reference for seismic design of underground structures.
Keywords:soil shear strain  seismic response of soil layer  grade prediction  random forest
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