Prediction of Internal Erosion Parameters of Clay Soils Using Initial Physical Properties

Author:

Attom Mousa F.1,Vandanapu Ramesh2,Khan Zahid3,Yamin Mohammad4,Astillo Philip Virgil5ORCID,Eltayeb Ahmed1,Khalil Ahmed16ORCID

Affiliation:

1. Department of Civil Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates

2. Department of Civil Engineering, Amity University, Dubai, Dubai P.O. Box 345019, United Arab Emirates

3. AECOM, Calgary, AB T2C 5E7, Canada

4. Department of Civil Engineering, Minnesota State University, Mankato, MN 56001, USA

5. Department of Computer Engineering, School of Engineering, University of San Carlos, Cebu 6000, Philippines

6. Materials Science and Engineering Program, College of Arts and Sciences in Collaboration with College of Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates

Abstract

This paper aims to predict the internal erosion rate index and critical shear of soils based on the initial physical properties of soils. Regression statistical analyses were employed on sixteen types of clayey soils prepared at different initial dry densities and water contents. The Hole Erosion test was conducted to determine the internal erosion parameters: the erosion rate index and the critical shear. Another set of specimens with the same initial dry unit weight and water content was remolded in the direct shear box and tested using the direct shear test to determine the shear strength parameters (i.e., the cohesion and the angle of internal friction). The various physical properties of soil (initial dry unit weight, initial water content, plastic index, liquid limit, optimum water content, maximum dry density, cohesion, and angle of internal friction) were used to develop models that predict both the erosion rate index and the critical shear. The findings show that the initial physical properties can be used to predict the erosion rate index and the critical shear. The coefficient of determination (R2) was found to be between 0.83 and 0.92 to predict the erosion rate index and between 0.85 and 0.9 to predict the critical shear. The high R2 implies that the models can be used to rate the soil erodibility in advance based on simple laboratory testing instead of time-consuming tests. Additionally, the findings give varied options for prediction depending on the availability of the soil initial physical properties.

Funder

American University of Sharjah

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

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