Proceedings of the 1st International Conference on Recent Innovation in Civil Engineering and Architecture for Sustainable Development (IICASD-2024)

Determination of Electrical Resistivity of Organic Clay from Moisture Content and Dry Density

Authors
Md. Abushama Liton1, *, Md. Mokhlesur Rahman1
1Dhaka University of Engineering & Technology, Gazipur, Bangladesh
*Corresponding author. Email: abushamaliton@gmail.com
Corresponding Author
Md. Abushama Liton
Available Online 4 April 2025.
DOI
10.2991/978-94-6463-672-7_13How to use a DOI?
Keywords
Electrical resistivity; organic clay; dielectric; multiple regression analysis; investigation
Abstract

The electrical resistivity of soil is its ability to oppose the passage of electric current through soil. It plays a vital role in various engineering ap-plications such as determining soil corrosivity, designing grounding systems, etc. Organic clay is abundant in many places of the world, and sometimes it is necessary to know its electrical resistivity immediately. Whereas, measurement of the electrical resistivity of soils in the field condition is tedious. So, determining the electrical resistivity from geotechnical parameters will be very useful to field professionals for immediate judgment during construction. For the present study, five organic clay samples have been collected from different locations of Bangladesh. The collected soil samples are found to have organic content between from 22.2% to 36.8%. From the electrical resistivity test, it is observed that the high organic content behaves as a dielectric material absence of moisture. The electrical resistivity of organic clay is higher when the moisture content of organic clay is lower and the density is less. The decrease of electrical resistivity is very high at low moisture con-tent and the change is logarithmic within the range of moisture content studied. The current study also attempted to develop the relationships for the electrical resistivity of organic clay with moisture content, density, and organic content by using multiple regression analysis techniques. These correlations will help to estimate the electrical resistivity of organic clay. However, further detailed investigation may be required before field application by the field professionals.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 1st International Conference on Recent Innovation in Civil Engineering and Architecture for Sustainable Development (IICASD-2024)
Series
Advances in Engineering Research
Publication Date
4 April 2025
ISBN
978-94-6463-672-7
ISSN
2352-5401
DOI
10.2991/978-94-6463-672-7_13How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Md. Abushama Liton
AU  - Md. Mokhlesur Rahman
PY  - 2025
DA  - 2025/04/04
TI  - Determination of Electrical Resistivity of Organic Clay from Moisture Content and Dry Density
BT  - Proceedings of the 1st International Conference on Recent Innovation in Civil Engineering and Architecture for Sustainable Development (IICASD-2024)
PB  - Atlantis Press
SP  - 140
EP  - 158
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-672-7_13
DO  - 10.2991/978-94-6463-672-7_13
ID  - Liton2025
ER  -