Correlations between CBR index, using the modified optimum proctor characteristics and lateritic soils identification parameters
1 Department of Civil Engineering of the National Advanced School of Engineering Yaounde, Cameroon.
2 Department of Civil Engineering of the National Advanced School of Engineering Maroua, Cameroon.
2 Researchers at the Department of Civil Engineering of the National Advanced School of Engineering Yaoundé, Cameroon.
Review
World Journal of Advanced Engineering Technology and Sciences, 2023, 09(01), 248–259.
Article DOI: 10.30574/wjaets.2023.9.1.0163
Publication history:
Received on 22 April 2023; revised on 31 May 2023; accepted on 03 June 2023
Abstract:
The selection of soils for construction of engineering structures is done on the basic of set number of criteria. In road construction, the criteria used are the value of the CBR index at 4 days imbibition. For earth dams and road embankments where materials should be compacted at their maximum dry density, we will adopt the criterion: the compaction characteristics at its optimum modified proctor. The determination of these criteria are very time consuming and can generate several delays which is inconsistent with the strategies of productivity of Publics Works companies. To reduce these delays, relations permitting us to predict their values from soil identification parameters should be developed. In this context, 1500 laboratory test results obtained from samples collected throughout the Cameroon territory were studied. Correlations which obtained were tested on around thirty results gave a prediction with error lower than 6.02%.
Keywords:
CBR index; Optimum modified proctor; Nonlinear multiple regression; Lateritic soils; Plasticity index
Full text article in PDF:
Copyright information:
Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0