The electrical resistivity method can detect and characterize the internal structure and characteristics of por-ous media such as soil and rock through surface conductivity,so it is widely used in the in-situ tests.Soil-rock mix-ture(S-RM)is an extremely uneven and loose rock and soil medium system composed of multiphase media,and the conductivity of S-RM is influenced by the spatial distribution,conductivity and combination modes of each media.A large number of scholars have carried out experimental and theoretical studies on soil resistivity,and various theoret-ical models of soil resistivity have been summarized.Due to the late start of research on the electrical resistivity char-acteristics and related theories of S-RM,the conductivity mechanism of S-RM was analyzed on the basis of the soil e-lectrical resistivity model,and the existing electrical resistivity models of S-RM and their limitations were summa-rized.The results indicate that the conductive principle of the mixed medium lays the foundation for the study of elec-trical conductivity models of S-RM.Based on the electrochemical theory,there is a mature theory for the conductivity of single-phase media,while the conductivity model of multiphase media is still being continuously improved and per-fected.The existing electrical resistivity models for S-RM can be divided into series-parallel connection model and re-gional statistical model.The regional statistical model is mostly empirical formula,which is convenient to apply,but the generalizability of the model still needs to be improved.The series-parallel connection model has a good theoreti-cal foundation,and the physical meanings of parameters in the model are clear.However,simplifying the conductive medium into a series-parallel arrangement is still different from the complex internal structure of S-RM,and the model still needs further improvement.
关键词
岩土工程/土石混合料/电阻率模型/串-并联模型/区域统计模型
Key words
geotechnical engineering/soil-rock mixture/electrical resistivity model/series-parallel connection mod-el/regional statistical model
维普
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