首页|土石坝高喷桩防渗墙抗压强度与渗透系数相关性及分布模型研究

土石坝高喷桩防渗墙抗压强度与渗透系数相关性及分布模型研究

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防渗墙的抗压强度与渗透系数之间的相关性及其分布模型是影响土石坝防渗墙强度及大坝渗透可靠性的关键因素.收集了9座土石坝高喷桩防渗墙检测数据,采用AIC准则识别抗压强度与渗透系数的最优边缘分布类型与构造相关联合分布模型的最优Copula函数,Bootstrap方法模拟识别结果的统计不确定性.结果表明:抗压强度和渗透系数之间存在显著负相关性、主要服从威布尔分布,构造两参数相关非正态联合分布的最优Copula 函数为Frank Copula,识别结果差异主要来源于防渗墙施工质量导致的频率分布差异.研究结果可为土石坝高喷桩防渗墙强度可靠度与坝体/坝基渗透稳定可靠度分析提供简单、有效的分布模型.
Correlation and Distribution Model between Compressive Strength and Permeability Coefficient for High-pressure Jet Grouting Wall in Earth-rock Dam
Correlation and distribution model between compressive strength and permeability coefficient of cutoff wall are the key factors af-fecting the reliability analysis of cutoff wall strength and permeability failure of earth-rock dam.The testing data of high pressure jet grouting wall of 9 earth-rock dams are collected.AIC criterion is used to identify the best marginal distribution type of compressive strength,permea-bility coefficient and the best Copula function of correlation joint distribution model.The Bootstrap method was used to simulate the statistical uncertainty of the identification results.The results show that there is a significant negative correlation between compressive strength and per-meability coefficient,which mainly obeys Weibull distribution.Frank Copula is identified as the best function used to construct the non-nor-mal joint distribution between the two parameters.The identification difference of the best distribution type and best Copula function is main-ly due to the different frequency distribution caused by the construction quality of cutoff wall.The research results can provide a simple and effective distribution mode for the reliability analysis of strength reliability of high-pressure Jet cutoff wall and permeability stability of earth-rock dam.

earth-rock damhigh-pressure jet grouting walljoint probability distributioncompressive strengthpermeability coefficientCopula

何金文、张诗瑶、胡世燃、潘春玲

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三峡大学 水电工程施工与管理湖北省重点实验室,湖北 宜昌 443002

三峡大学水利与环境学院,湖北 宜昌 443002

福建省水利水电科学研究院,福建 福州 350001

土石坝 高喷桩防渗墙 联合分布模型 抗压强度 渗透系数 Copula

2025

中国农村水利水电
水利部中国灌溉排水发展中心 水利部农村水电及电气化发展局 武汉大学 中国国家灌溉排水委员会

中国农村水利水电

北大核心
影响因子:0.655
ISSN:1007-2284
年,卷(期):2025.(1)