Development of Analytical Relationships Among Engineering Properties of Lateritic Soil as Pavement Materials

Research Article

Development of Analytical Relationships Among Engineering Properties of Lateritic Soil as Pavement Materials

Afolayan Olaniyi Diran.

Corresponding Author : Afolayan Olaniyi Diran.

Department of Civil Engineering, University of Ibadan.

Email ID : olaniyiafolayanoy@gmail.com

Received : 2018-01-02 Accepted : 2018-02-19 Published : 2018-02-19

Abstract : Laterite are soil types with the oxides of iron, aluminum, titanium, zircon, manganese, zinc and Quartz, they very significantly according to their location, climate and depth. Its use as pavement material depends on its index and engineering properties which are obtained experimentally in the laboratory or institution. Results on the strength and index properties of laterite as subgrade, sub base and base course material are collected from different geotechnical laboratories indicating the grain size distribution, Atterberg’s limit, Compaction test and the CBR test for the lateritic soil. The obtained equations through the use of SPSS and Least Square regression analysis shows that there exist relations among the engineering properties of laterite with the former producing greater degree of accuracy, more flexibility and higher ease of computation. The application of these statistical tools in determining the engineering properties of lateritic soil will reduce the length of time spent obtaining these properties experimentally; reduction in construction cost and time spent and eliminate errors that are likely to occur during experiments.

Keywords : Laterite, SPSS, Least-Square Regression.

Citation : Afolayan Olaniyi Diran (2018). Development of Analytical Relationships Among Engineering Properties of Lateritic Soil as Pavement Materials, J. of Advancement in Engineering and Technology, V6I1.02. DOI : 10.5281/zenodo.1175581

Copyright : © 2018 Afolayan Olaniyi Diran. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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