Empirical Models for the Determination of the Compression Index from the Atterberg Limits: Case of the Soils of the Issaba Depression in Benin
Koffi Judicaël Agbelele, Y. J. F. Kpomahou, Ernesto C. Houehanou, Gbenihon Céleste-Amour Kenoukon, A. C. Houngan
Current Journal of Applied Science and Technology · pp. 11–20 · Published 29 Jul 2022
10.9734/cjast/2022/v41i2731783Abstract
The good realization of any infrastructure in civil engineering requires the implementation of geotechnical investigations. During these investigations, the physical properties of the soil, especially the mechanical ones, must be determined with care and precision because of their capital importance in the preliminary studies before the realization of the work. The soil compression index is one of these mechanical parameters, determined by laboratory tests. It allows the calculation of settlements and is therefore essential, especially for fine clay or silty soils which are often subject to swelling phenomena. However, the realization of the test to find the compression index in the laboratory takes time, and the test itself proves delicate. Several authors have therefore proposed the determination of this index from the limits of Atterberg, which can be obtained more quickly and easily. Through this study, empirical models have been proposed to easily calculate the compression index. Regression analyses in Matlab with 2D and 3D graph systems were performed for this purpose. The model was established for the soils of the Issaba depression in the Republic of Benin, where clayey and silty soils are very swelling. The models obtained show very good correlations with R2 coefficients higher than 0.80 and the RMSE error minimized to less than 0.5.
Cited by 2
2 citations reported by external sources — individual citing-article records aren't available to list yet.
Related research
- Comparing and Modifying Eight Empirical Models of Snowmelt Using Data from Harp Experimental Station in Central Ontario — shares topic coverage
- Specific Attenuation Estimation in Perturbed Radio Wave Propagation Using Artificial Neural Networks — shares topic coverage
- Sustainable Study of Local Lateritic Soils Compressibility — shares topic coverage
- Assessment of the Geotechnical Properties of Termite Mound Soils from Selected Communities in Edo and Delta States, Nigeria — shares topic coverage
- Sustainable Stabilization of Lateritic Soil Using Rice Husk Ash-derived Nano-silica: Effects on Index Properties and Compaction Characteristics — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
2
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.