Development of Analytical Relationships among Engineering Properties of Lateritic Soil as Pavement Materials
O D Afolayan, Murtadha Adekilekun Tijani, Monsuru Akinleye
Abstract
O D Afolayan, Murtadha Adekilekun Tijani, Monsuru Akinleye
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 in-situ. 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 exists 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.
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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 in-situ. 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 exists 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.
Key concepts: Laterite, Atterberg limits, Compaction, Geotechnical engineering, California bearing ratio, Subgrade, Environmental science, Materials science