Slope Monitoring Study using Soil Mechanics Properties and 4-D Electrical Resistivity Tomography Methods

Bery, Andy Anderson (2016) Slope Monitoring Study using Soil Mechanics Properties and 4-D Electrical Resistivity Tomography Methods. Soil Mechanics and Foundation Engineering, 53 (1). pp. 24-29. ISSN 0038-0741

[img]
Preview
PDF - Submitted Version
Available under License Creative Commons Attribution.

Download (2MB) | Preview

Abstract

In past applications of electrical resistivity survey, users commonly focussed on the Earth's subsurface to locate water table, bedrock, etc. Nowadays, this electrical resistivity method is used by engineers for shallow subsurface investigations. This paper presents the integration of soil mechanics properties with electrical resistivity tomography methods and recommends the proper selection of resistivity array (survey planning) and appropriate inversion constraint parameters (data processing) that are able to deliver optimum resistivity tomography model results. This study identifies the empirical correlations of the soil's properties such as shear strength parameters, moisture content, void ratio, porosity, saturation degree, and Atterberg's limits with the electrical resistivity values (resistivity tomography models). A total of 11 undisturbed clayey sand soil samples was collected at different distances, depths, and times and were tested under both infield and laboratory conditions during the slope monitoring period. The soil mechanics properties of the soil samples were obtained right after the electrical resistivity survey was made. It is shown that the electrical resistivity values are greatly influenced by the soil mechanics properties. Thus, the electrical resistivity (4-D) survey using the optimized Wenner- Schlumberger array (high data density) is capable of reliably enhancing the conventional outcome of the Earth's subsurface investigation

Item Type: Article
Subjects: Q Science > QC Physics > QC1-999 Physics
Divisions: Pusat Pengajian Sains Fizik (School of Physics) > Article
Depositing User: Administrator Automasi
Date Deposited: 20 Sep 2017 08:48
Last Modified: 20 Sep 2017 08:48
URI: http://eprints.usm.my/id/eprint/36694

Actions (login required)

View Item View Item
Share