西南交通大学学报2024，Vol.59Issue(6)：1448-1456,9.DOI:10.3969/j.issn.0258-2724.20220681
基于M序列的磁电法探测坝基渗漏试验研究
Experimental Study on Dam Foundation Leakage Detection by Magnetoelectric Method Based on M Sequence
摘要
Abstract
The dam foundation leakage problem has been a key factor affecting the overall safety of reservoir dams.To effectively and accurately detect dam foundation leakage,the magnetoelectric method based on M sequence correlation identification technology was applied to the dam leakage detection based on the pseudo-random identification principle.Firstly,the distribution of magnetic induction intensity,mean square error,and variation coefficient under various leakage depth conditions were characterized through the analysis of physical model experiments.Then,various leakage forms,high-resistance shielding layers,and leakage channel numbers were designed,so as to obtain the response characteristics of the detection results to the inclined channel,high-resistance shielding layer,and multiple leakage channels.Finally,the field test of Hongshiyan Dam in Yunnan Province was conducted to study the feasibility of this technology.The results show that under different burial depth conditions,the variation coefficients of maximum magnetic induction intensity vary within 2%.Along the inclined leakage channel,the magnetic induction intensity decreases slowly,and the ridge direction of the magnetic field contour map can be considered as the inclined leakage direction.The magnetic induction intensity is affected by the high-resistance shielding layer and has an error between 10%and 20%.The multiple leakage channels can be reflected by the concentrative distribution of abnormal zones in magnetic field contour maps.The leakage directions are observed in the field test,containing NW300°,SW265°,W215°,and NW305°,respectively.关键词
渗漏识别/M序列/磁电法/坝基渗漏/土槽试验Key words
leakage identification/M sequence/magnetoelectric method/dam foundation leakage/soil bin test分类
建筑与水利引用本文复制引用
刘瑾,车文越,钱卫,张化鹏,黄国娇,丁亮,何秀凤..基于M序列的磁电法探测坝基渗漏试验研究[J].西南交通大学学报,2024,59(6):1448-1456,9.基金项目
国家重点研发计划(2018YFC1508501) （2018YFC1508501）
