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The effect of geotechnical soil properties on cbr value: review.

Authors :
Pule, Botlhe B.
Yendaw, Jerome A.
Source :
AI in Civil Engineering; 11/7/2024, Vol. 3 Issue 1, p1-11, 11p
Publication Year :
2024

Abstract

This review paper summarizes the current state of research on relationships between geotechnical soil's properties and the California Bearing Ratio (CBR) value. Geotechnical elements are pivotal in preventing civil engineering projects from collapses and settlement failures, so understanding detailed soil properties is an important task. CBR tests are used to assess the stiffness modulus and shear strength and guide the overlaying layer's thickness in pavement designs. Despite such tests' high expense and complexity, researchers have explored correlations and machine learning for CBR prediction from soil properties. This paper would delve into the varying influence of such properties as compaction properties (OMC and MDD) and index properties (LL, PL, and PI). By measuring the relevance of these properties to CBR, this paper examines their significance and potential interactions. In sum, this review sheds light on soil properties' multifaceted effects on CBR value and provides support for informed pavement engineering decisions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20970943
Volume :
3
Issue :
1
Database :
Complementary Index
Journal :
AI in Civil Engineering
Publication Type :
Academic Journal
Accession number :
180735254
Full Text :
https://doi.org/10.1007/s43503-024-00039-1