3D electrical resistivity tomography as an aid in investigating gravimetric water content and shear strength parameters

被引:11
作者
Neyamadpour, Ahmad [1 ]
机构
[1] Islamic Azad Univ, Dept Geophys, Masjed Soleiman Branch, Masjed Soleiman, Iran
关键词
Gravimetric water content; Cohesion; Internal angle of friction; Electrical resistivity tomography; Correlation; CLAY; CONDUCTIVITY; SENSITIVITY;
D O I
10.1007/s12665-019-8603-7
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The three-dimensional representation of geotechnical parameters distribution helps geotechnical and civil engineers in the design and successful construction of any structure. 3D Electrical Resistivity Tomography is a fast, inexpensive, reliable and non-destructive method for determining the soil parameters below ground level in the studied area. It is very useful to develop an acceptable correlation between electrical resistivity and geotechnical parameters to determine their three dimensional distribution at the site. In this study, a correlation was developed between the electrical resistivity and each of the parameters of gravimetric water content, cohesion and internal angle of friction, with laboratory measurements of geotechnical parameters and electrical resistivity field studies. The results showed that electrical resistivity had a power relationship with the gravimetric water content. The relationship between electrical resistivity and any of the parameters of cohesion and internal angle of friction was determined linearly. According to the three-dimensional distribution of electrical resistivity and mathematical relations obtained from regression operations, three-dimensional distribution of gravimetric water content, cohesion and internal angle of friction were presented as horizontal layers at different depths.
引用
收藏
页数:14
相关论文
共 42 条
[1]   Electrical resistivity of compacted clays [J].
AbuHassanein, ZS ;
Benson, CH ;
Blotz, LR .
JOURNAL OF GEOTECHNICAL ENGINEERING-ASCE, 1996, 122 (05) :397-406
[2]   The electrical conductivity and surface conduction of consolidated rock cores [J].
Alkafeef, Saad F. ;
Alajmi, Abdullah F. .
JOURNAL OF COLLOID AND INTERFACE SCIENCE, 2007, 309 (02) :253-261
[3]  
Benoit S, 2019, HYDROGEOL J, V27, P395, DOI 10.1007/s10040-018-1862-7
[4]   Constrained electrical resistivity tomography Bayesian inversion using inverse Matern covariance matrix [J].
Bouchedda, Abderrezak ;
Bernard, Giroux ;
Gloaguen, Erwan .
GEOPHYSICS, 2017, 82 (03) :E129-E141
[5]  
Braga A.C. O., 1999, J ENVIRON ENG GEOPH, V4, P123, DOI [DOI 10.4133/JEEG4.2.123, 10.4133/jeeg4.2.123]
[6]  
CAMPBELL RB, 1948, SOIL SCI SOC AM PRO, V13, P66
[7]   Case studies of incorporation of prior information in electrical resistivity tomography: comparison of different approaches [J].
Caterina, David ;
Hermans, Thomas ;
Nguyen, Frederic .
NEAR SURFACE GEOPHYSICS, 2014, 12 (04) :451-465
[8]   Correlations between geotechnical and electrical data: A case study at Garchy in France [J].
Cosenza, Philippe ;
Mannet, Enic ;
Rejiba, Faycal ;
Cui, Yu Jun ;
Tabbagh, Alain ;
Charlery, Yvelle .
JOURNAL OF APPLIED GEOPHYSICS, 2006, 60 (3-4) :165-178
[9]   A numerical comparison of 2D resistivity imaging with 10 electrode arrays [J].
Dahlin, T ;
Zhou, B .
GEOPHYSICAL PROSPECTING, 2004, 52 (05) :379-398
[10]   The development of DC resistivity imaging techniques [J].
Dahlin, T .
COMPUTERS & GEOSCIENCES, 2001, 27 (09) :1019-1029