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General Information
    • ISSN: 1793-8236 (Online)
    • Abbreviated Title Int. J. Eng. Technol.
    • Frequency:  Quarterly 
    • DOI: 10.7763/IJET
    • Managing Editor: Ms. Jennifer Zeng
    • Abstracting/ Indexing: Inspec (IET), CNKI Google Scholar, EBSCO, ProQuest, Crossref, etc.
    • E-mail: ijet_Editor@126.com
Editor-in-chief
IJET 2013 Vol.5(6): 731-735 ISSN: 1793-8236
DOI: 10.7763/IJET.2013.V5.652

Soil Moisture Content and Density Prediction Using Laboratory Resistivity Experiment

Mohd Hazreek Zainal Abidin, Rosli Saad, Fauziah Ahmad, Devapriya Chitral Wijeyesekera, and Ahmad Shukri Yahya

Abstract—Natural soils are an intimate mixture of solid, liquid and gas phases. This study establishes a correlation for moisture content and density of a soil with its electrical resistivity. In the past, most of the conventional geotechnical site investigation required bulky and heavy equipment to determine the geotechnical parameters necessary for design and construction purposes. Consequentially, time and cost of the project is increased especially when dealing with some difficult site such as on mountainous terrain. This study is based on laboratory soil box resistivity meter observations made on soils mixed with additions of consistent increments of 1-5 % of water to 1500 gram of remolded soils in loose condition. At least 24 repetitive resistivity test observations were made and the moisture content and soil density was determined concurrently for each of the tests. The observations showed that the electrical resistivity variation decreased in a curvilinear manner with increasing percentage of moisture content. A regression equation and coefficient of determination, R2 for moisture content against soil electrical resistivity value was established by moisture content, w = 152.87ρ-0.312 (ρ = soil electrical resistivity) and R2 = 0.7718 respectively. While a regression equation and R2 value for bulk density versus soil electrical resistivity value was observed to be ρbulk = -0.107 ln (ρ) + 1.7249 and 0.7016 respectively. Hence, a viable method is demonstrated where the electrical resistivity value was applicable and has a great potential for geotechnical data prediction of parameters such as moisture content and soil density.

Index Terms—Correlation, moisture content, soil electrical resistivity and soil density.

Correlation, moisture content, soil electrical resistivity and soil density.

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Cite:Mohd Hazreek Zainal Abidin, Rosli Saad, Fauziah Ahmad, Devapriya Chitral Wijeyesekera, and Ahmad Shukri Yahya, "Soil Moisture Content and Density Prediction Using Laboratory Resistivity Experiment," International Journal of Engineering and Technology vol. 5, no. 6, pp. 731-735, 2013.

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