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ISSN: 2582-8266 (Online)  || UGC Compliant Journal || Google Indexed || Impact Factor: 9.48 || Crossref DOI

Fast Publication within 2 days || Low Article Processing charges || Peer reviewed and Referred Journal

Research and review articles are invited for publication in Volume 18, Issue 2 (February 2026).... Submit articles

Correlations between CBR index, using the modified optimum proctor characteristics and lateritic soils identification parameters

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MAMBA MPELE 1, BAANA ABOUAR 2, *, OKPWE MBARGA Richard 1 KOUMBE MBOCK 3 and AHMADOU SARDAOUNA 3

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 Article
 
World Journal of Advanced Engineering Technology and Sciences, 2023, 09(01), 248–259.
Article DOI: 10.30574/wjaets.2023.9.1.0163
DOI url: https://doi.org/10.30574/wjaets.2023.9.1.0163

Received on 22 April 2023; revised on 31 May 2023; accepted on 03 June 2023

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%.

CBR index; Optimum modified proctor; Nonlinear multiple regression; Lateritic soils; Plasticity index

https://wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2023-0163.pdf

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MAMBA MPELE, BAANA ABOUAR, OKPWE MBARGA Richard, KOUMBE MBOCK and AHMADOU SARDAOUNA. Correlations between CBR index, using the modified optimum proctor characteristics and lateritic soils identification parameters. World Journal of Advanced Engineering Technology and Sciences, 2023, 09(01), 248–259. Article DOI: https://doi.org/10.30574/wjaets.2023.9.1.0163

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