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
Correlation and Distribution Model between Compressive Strength and Permeability Coefficient for High-pressure Jet Grouting Wall in Earth-rock Dam
何金文 1张诗瑶 1胡世燃 1潘春玲2
作者信息
- 1. 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
- 2. 福建省水利水电科学研究院,福建 福州 350001
- 折叠
摘要
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.
Abstract
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.
关键词
土石坝/高喷桩防渗墙/联合分布模型/抗压强度/渗透系数/CopulaKey words
earth-rock dam/high-pressure jet grouting wall/joint probability distribution/compressive strength/permeability coefficient/Copula引用本文复制引用
出版年
2025
国家科技期刊平台
NSTL
维普
万方数据