Modeling of electrical resistivity and maximum dry density in soil compaction measurement

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

This paper presents the mathematical relationship of electrical resistivity and dry density in compacted soil through electrical signal for geotechnical investigations. Monitoring of the compacted soil through electrical conductivity plays an important role in the construction of highway embankments, earth dams and many other engineering structures. Conventionally, soil compaction is measured through the estimation of maximum dry density at optimum moisture contents in laboratory tests. This conventional testing method is very tedious and costly especially when a lot of samples are involved. In this work, a mathematical model is developed to estimate the soil compaction on-site through electrical resistivity corresponding to the percentage of moisture contents in the compacted soil. The practical usage of the derived mathematical model is demonstrated using several soil samples for various types of soil.

Original languageEnglish
Pages (from-to)1299-1305
Number of pages7
JournalEnvironmental Earth Sciences
Volume67
Issue number5
DOIs
Publication statusPublished - Nov 2012

Fingerprint

compacted soils
electrical resistance
dry density
soil compaction
electrical resistivity
Compaction
Soils
mathematical models
modeling
water content
dams (hydrology)
soil
moisture content
electrical conductivity
soil types
engineering
soil sampling
earth dam
testing method
Moisture

Keywords

  • Dry density
  • Electrical resistivity
  • Mathematical modeling
  • Soil compaction

ASJC Scopus subject areas

  • Earth-Surface Processes
  • Geology
  • Global and Planetary Change
  • Pollution
  • Water Science and Technology
  • Environmental Chemistry
  • Soil Science

Cite this

Modeling of electrical resistivity and maximum dry density in soil compaction measurement. / Islam, T.; Chik, Z.; Mustafa, Mohd. Marzuki; Sanusi, Hilmi.

In: Environmental Earth Sciences, Vol. 67, No. 5, 11.2012, p. 1299-1305.

Research output: Contribution to journalArticle

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