土体四电极电阻率敏感度研究

    Sensitivity study of four-electrode resistivity in soil media

    • 摘要: 土体电阻率是表征其导电特性的关键参数,受测试方法(如电源电压、电极针入深度)、试样状态及矿物组成、颗粒大小与形状、孔隙结构、含水量、孔隙液成分、饱和度、环境温度等因素影响。但目前,针对土性状态与测试装置对导电特性影响规律及因素间相互作用对电阻率敏感度的机理研究尚不深入。本文以黏性土、砂质土及四种电解质溶液为样本,采用室内四电极法测试电阻率,探究含水率、干密度、孔隙液浓度、测试电压、针入深度、砂质土颗粒特征(形貌、粒径)及介质类型对电阻率的影响规律与作用机制。通过正交试验,结合极差与方差分析评估各因素对不同介质电阻率的敏感性,并分析电阻率与组内因素的线性相关性,以深化对影响机理的认识。研究结果表明:1)砂质土中,电阻率对各因素敏感度依次为孔隙液浓度、含水率、干密度、颗粒粒径、针入深度、颗粒形貌及测试电压;2)黏性土中敏感度排序为含水率、干密度、针入深度和测试电压;3)介质类型方面,敏感度排序为溶液浓度、介质类型、针入深度、电压;4)最后通过皮尔逊线性分析,揭示了影响因素间的线性相关性,并阐明了状态参数单因素及多因素耦合对电阻率的作用机制。该研究为构建科学、准确的岩土体电阻率正演模型及科学评估其工程特性提供了依据。

       

      Abstract: The electrical resistivity of geotechnical media is a key indicator of its conductivity and is influenced by factors such as testing methods (e.g., voltage, electrode depth), sample conditions, mineral composition, particle size and shape, pore structure, water content, pore fluid composition, saturation, and temperature. However, the mechanisms by which soil properties and test configurations affect resistivity, and their interactions, remain insufficiently understood. This study investigates the resistivity of clayey and sandy soils, along with four electrolyte solutions, using the laboratory four-electrode method. The effects of water content, dry density, pore fluid concentration, voltage, electrode depth, particle morphology and size, and media type were analyzed. An orthogonal design combined with range and variance analyses was used to assess factor sensitivity. The linear correlations between electrical resistivity and intra-group factors were also examined. Results show that: (1) in sandy soils, resistivity is most sensitive to pore fluid concentration, followed by water content, dry density, particle size, electrode depth, particle morphology, and voltage; (2) in clayey soils, water content and dry density dominate; (3) across media types, solution concentration has the greatest impact. (4) Finally, through Pearson linear analysis, the linear correlation between the influencing factors is revealed, and the mechanism of state parameter single-factor and multi-factor coupling on resistivity is elucidated. This work supports the development of forward modeling of geotechnical resistivity and its application in engineering evaluation.

       

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