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Determination of soil moisture content using laboratory experimental and field electrical resistivity values

Z. A., M. Hazreek and S., Rosli and A., Fauziah and D. C., Wijeyesekera and M. I. M., Ashraf and T. B. M., Faizal and Kamarudin, A. F. and Y., Rais and Md Dan, M. F. and A. T. S., Azhar and Z. M., Hafiz (2017) Determination of soil moisture content using laboratory experimental and field electrical resistivity values. In: International Seminar on Mathematics and Physics in Sciences and Technology 2017 (ISMAP 2017), 28–29 October 2017, Hotel Katerina, Malaysia.

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Abstract

The efficiency of civil engineering structure require comprehensive geotechnical data obtained from site investigation. In the past, conventional site investigation was heavily related to drilling techniques thus suffer from several limitations such as time consuming, expensive and limited data collection. Consequently, this study presents determination of soil moisture content using laboratory experimental and field electrical resistivity values (ERV). Field and laboratory electrical resistivity (ER) test were performed using ABEM SAS4000 and Nilsson400 soil resistance meter. Soil sample used for resistivity test was tested for characterization test specifically on particle size distribution and moisture content test according to BS1377 (1990). Field ER data was processed using RES2DINV software while laboratory ER data was analyzed using SPSS and Excel software. Correlation of ERV and moisture content shows some medium relationship due to its r = 0.506. Moreover, coefficient of determination, R2 analyzed has demonstrate that the statistical correlation obtain was very good due to its R2 value of 0.9382. In order to determine soil moisture content based on statistical correlation (w = 110.68ρ-0.347), correction factor, C was established through laboratory and field ERV given as 19.27. Finally, this study has shown that soil basic geotechnical properties with particular reference to water content was applicably determined using integration of laboratory and field ERV data analysis thus able to compliment conventional approach due to its economic, fast and wider data coverage.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA703-711 Engineering geology. Rock mechanics. Soil mechanics.
Divisions: Faculty of Civil and Environmental Engineering > Department of Structural and Material Engineering
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 31 Jul 2019 01:01
Last Modified: 31 Jul 2019 01:01
URI: http://eprints.uthm.edu.my/id/eprint/11436
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