考虑颗粒形貌的砂土导电特性及模型研究
Study on electrical conductivity characteristics and modeling of sand considering particle morphology
摘要
Abstract
The electrical resistivity of geotechnical media is influenced by various factors,with pore structure characteristics related to particle morphology playing a key role in resistivity parameterization.Existing studies are mostly theoretical and based on idealized assumptions,often limited by incomplete morphological descriptors,unclear mechanisms,and measurement difficulties.This study investigates five types of sands with typical particle shapes.Using morphological analysis and four-electrode resistivity testing,the correlations between 2D morphological features and resistivity parameters are examined,alongside micro-scale mechanism analysis.Results show that aspect ratio,convexity,roundness,and sphericity approximately follow normal distributions,with expected values effectively representing particle morphology.Under normalized saturation and porosity,all sands exhibit similar trends:resistivity decreases with increasing saturation and porosity,following a power-law relationship.Resistivity parameters also correlate with the average morphological factor(Am)via power functions.At the same porosity and saturation,higher particle roundness enhances conductivity by reducing the tortuosity of pore water paths.Moreover,resistivity differences among sands diminish as saturation and porosity increase.A morphology-informed correction model is proposed and validated against the Archie and H-B models,showing improved accuracy and applicability.The findings provide theoretical and experimental support for understanding sand conductivity and advancing resistivity-based methods in geotechnical engineering.关键词
砂土颗粒形貌/砂土电阻率/统计分布/电阻率结构参数/砂土导电修正模型Key words
sand particle morphology/sand resistivity/statistical distribution/structural parameters of resistivity/conductive model of sand分类
建筑与水利引用本文复制引用
李志杰,储亚,张涛,蔡国军,闫超,刘松玉,韩爱民..考虑颗粒形貌的砂土导电特性及模型研究[J].岩土工程学报,2026,48(6):1251-1261,11.基金项目
国家杰出青年科学基金项目(42225206) （42225206）
国家自然科学基金青年项目(42202303) （42202303）
江苏省自然科学基金青年项目(BK20220355) （BK20220355）
安徽省膨胀土力学与工程研究院开放课题项目(AHPZY2023KF02) （AHPZY2023KF02）
江苏省地质工程环境智能监控工程研究中心开放基金项目(2023-ZNJKJJ-07) （2023-ZNJKJJ-07）
江苏省"双创博士"计划项目(JSSCBS20210385) （JSSCBS20210385）
江苏省高等学校自然科学研究项目(21KJB170019)This work was supported by the National Science Fund for Distinguished Young Scholars(Grant No.42225206),National Natural Science Foundation of China-Young Scientists Fund(CN)(Grant No.42202303),Natural Science Foundation of Jiangsu Province-Basic Research Program(CN)(Grant No.BK20220355),Anhui Institute of Expansive Soil Mechanics and Engineering(Grant No.AHPZY2023KF02),Jiangsu geological engineering environment Intelligent Monitoring Engineering Research Center(Grant No.2023-ZNJKJJ-07),High Level Innovation and Entrepreneurial Research Team Program in Jiangsu(Grant No.JSSCBS20210385),Natural Science Research of Jiangsu Higher Education Institutions of China(Grant No.21KJB170019). （21KJB170019）
