Loading…
Statistical evaluation of testing conditions on the saturated hydraulic conductivity of Brazilian lateritic soils using artificial intelligence approaches
The saturated hydraulic conductivity, k sat , is a crucial variable to describe the hydromechanical behavior of soils. The value of k sat of lateritic soils that are typically found in tropical regions is highly affected by the soil’s structure, void ratio, and fine particle aggregation. As a result...
Saved in:
Published in: | Scientific reports 2022-11, Vol.12 (1), p.20381-20381, Article 20381 |
---|---|
Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | The saturated hydraulic conductivity,
k
sat
, is a crucial variable to describe the hydromechanical behavior of soils. The value of
k
sat
of lateritic soils that are typically found in tropical regions is highly affected by the soil’s structure, void ratio, and fine particle aggregation. As a result, the determination of
k
sat
in the field or in the laboratory is complex and involves greater variability, depending on the type of test and on the spatial location of sampling. This paper presents a study of
k
sat
values of lateritic soils, analyzing them using Statistic, Multilayer Perceptron Artificial Neural Networks (ANN) and Decision Trees (CHAID). This study aims to support decision-making regarding the type of test and depth chosen for sampling in laterite soils and understanding the factors influencing the permeability of such soils. An extensive literature review on the
k
sat
values of lateritic soils was performed, providing data for the establishment of a database comprise of 722 registries. According to agronomic and geotechnical soil classifications, the Brazilian lateritic soils presents a “moderate” hydraulic conductivity. A significant variation of permeability values along the depth was identified, particularly for depths between 0.1 and 0.2 m. Regarding the importance of testing variables, the ANN indicated a high dependency on the type of test. The decision tree divided field test and laboratory test automatically, inferring the relevance of the type of test to the determination of
k
sat
. |
---|---|
ISSN: | 2045-2322 2045-2322 |
DOI: | 10.1038/s41598-022-24779-1 |