摘要
为评估黄土地基在发生地震期间出现的震陷安全水平,本文提出了一种基于Kriging代理模型的黄土地基震陷可靠度分析方法,采用拉丁超立方抽样(LHS)抽取随机变量的样本点,通过FLAC3D有限差分软件建立黄土地基数值模型并计算所抽样本点对应的响应值作为建立Kriging代理模型所需的训练样本点,结合蒙特卡罗法计算黄土地基震陷的可靠度,并分析随机变量的变异性对震陷可靠度的影响。算例分析结果表明:提出的震陷可靠度计算方法相比传统的确定性计算方法能够合理地考虑土性参数的变异性,更加符合实际情况,具有更好的可靠性和适用性。黏聚力的变异系数对震陷最大可靠度的影响更为显著。
In order to evaluate the safety level of seismic subsidence of loess foundation during earthquakes,this paper proposes a reliability analysis method based on the Kriging surrogate model.The sample points of random variables are extracted based on Latin hypercube sampling(LHS).A numerical model of the loess foundation is established using FLAC3D finite difference software,and response values corresponding to the sample point is calculated as the training sample point for establishing Kriging surrogate model.The reliability of seismic subsidence of loess foundation is calculated by Monte Carlo method,and the influence of variability of random variables on seismic subsidence reliability is analyzed.The results show that the proposed seismic subsidence reliability calculation method can reasonably consider the variability of soil parameters compared to traditional deterministic methods,making it more practical with better reliability and applicability.The variation coefficient of cohesion significantly affects the maximum reliability of seismic subsidence.
作者
胡长明
张思梦
钱家志
张勇
HU Changming;ZHANG Simeng;QIAN Jiazhi;ZHANG Yong(College of Civil Engineering,Xi’an University of Architecture and Technology,Xi’an,Shaanxi 710055,China;China Energy Construction Group,Gansu Electric Power Design Institute Co.Ltd.,Lanzhou,Gansu 730050,China;College of Management,Xi’an University of Architecture and Technology,Xi’an,Shaanxi 710055,China)
出处
《中国地质灾害与防治学报》
CSCD
2024年第6期106-114,共9页
The Chinese Journal of Geological Hazard and Control
基金
陕西省自然科学基础研究计划项目(2021JLM-52)。
作者简介
第一作者:胡长明(1963-),男,河南信阳人,教授、博士生导师,主要从事施工技术与管理方面的教学和科研工作。E-mail:hu.tm@163.com;通讯作者:张思梦(1997-),女,山西晋城人,硕士研究生,研究方向为黄土震陷评价。E-mail:1042512639@qq.com。
