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IJSCER 2021 Vol.10(4): 172-177
doi: 10.18178/ijscer.10.4.172-177

Dummy Regression to Predict Resilient Modulus of Cohesive Subgrade Soils

Mohammad Ali Khasawneh 1 and Rabea Saleh AL-Jarazi 2
1. Civil Engineering, Prince Mohammad Bin Fahd University, Al Azeziya, Eastern Province, Kingdom of Saudi Arabia
2. Civil Engineering Department, Jordan University of Science and Technology, Irbid, Jordan

Manuscript received May 12, 2021; revised July 24, 2021; accepted August 15, 2021; issue published September 28, 2021.

Abstract—Owing to a significant contribution of resilient modulus of subgrade soils in the overall performance of roads or railways, it is crucial to provide the best prediction of it. In other words, regarding road pavements, the behavior of pavements depends on the resilient deformations. This paper presents a new predictive equation for the resilient modulus of cohesive subgrade soils (A-4a and A-6a) using dummy regression. The results show that resilient modulus (MR) values exhibited a slight increase as the confining pressure increases. A-4a compacted at Optimum Moisture Content (OMC) found to attain higher values when compared to other conditions and different soils. A prediction model using dummy variables is proposed and shown to be able to predict the resilient modulus of cohesive subgrade soils over a range of stress states and water contents.

Index Terms—Pavements, resilient modulus, cohesive soils, prediction model, dummy regression

Cite: Mohammad Ali Khasawneh and Rabea Saleh AL-Jarazi, "Dummy Regression to Predict Resilient Modulus of Cohesive Subgrade Soils," International Journal of Structural and Civil Engineering Research, Vol. 10, No. 4, pp. 172-177, November 2021. doi: 10.18178/ijscer.10.4.172-177

Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.