The effect of geotechnical soil properties on cbr value: review

Botlhe B. Pule, Jerome A. Yendaw
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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.

岩土特性对 cbr 值的影响:综述
本综述总结了岩土特性与加州承载比(CBR)值之间关系的研究现状。岩土元素在防止土木工程项目发生坍塌和沉降故障方面起着关键作用,因此了解土壤的详细特性是一项重要任务。CBR 试验用于评估刚度模量和剪切强度,并指导路面设计中的覆盖层厚度。尽管此类测试费用高昂且十分复杂,但研究人员仍探索了从土壤特性预测 CBR 的相关性和机器学习方法。本文将深入研究压实特性(OMC 和 MDD)和指数特性(LL、PL 和 PI)等特性的不同影响。通过衡量这些特性与 CBR 的相关性,本文将研究它们的重要性和潜在的相互作用。总之,本综述揭示了土壤特性对 CBR 值的多方面影响,为做出明智的路面工程决策提供了支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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