2021
DOI: 10.28927/sr.2021.054120
|View full text |Cite
|
Sign up to set email alerts
|

Prediction of maximum dry unit weight and optimum moisture content for coarse-grained lateritic soils

Abstract: Proctor method), West African Standard (WAS), and British Standard Heavy (BSH) (equivalent of modified Proctor method). These methods are laborious, time-consuming and material-consuming (Jayan & Sankar, 2015). The shortcomings outlined above together with proof by some earlier authors Ring et al. (1962), Ramiah et al. (1970), Benson et al. (1998) and most recently Anjita et al. ( 2017) that soil type, its grain size distribution, index properties, and specific gravity influence the MDUW and OMC of soils led r… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 9 publications
(1 citation statement)
references
References 6 publications
0
1
0
Order By: Relevance
“…Another research evaluated to develop empirical equations between g dmax and w opt with logarithm of compaction energy and sand content ratio for lateritic soils. The errors of this method are within the allowable range of g dmax and w opt parameters, so this shows that this method is very acceptable [28]. Another study applied two types of SVR models (using polynomial (SVM-p) and radial basis function (SVM-RBF) as kernel function), random forest regression (RFR), and artificial neural network to estimate the erodibility of an unsaturated soil gathered from an erosion watershed positioned at Amuzukwu, Nigeria.…”
Section: Introductionmentioning
confidence: 91%
“…Another research evaluated to develop empirical equations between g dmax and w opt with logarithm of compaction energy and sand content ratio for lateritic soils. The errors of this method are within the allowable range of g dmax and w opt parameters, so this shows that this method is very acceptable [28]. Another study applied two types of SVR models (using polynomial (SVM-p) and radial basis function (SVM-RBF) as kernel function), random forest regression (RFR), and artificial neural network to estimate the erodibility of an unsaturated soil gathered from an erosion watershed positioned at Amuzukwu, Nigeria.…”
Section: Introductionmentioning
confidence: 91%