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Multivariate Regression Analysis in Modelling Geotechnical Properties of Soils Along Lambata-Minna-Bida Highway

  • S. H. WaziriEmail author
  • F. Attah
  • N. M. Waziri
Conference paper
Part of the Sustainable Civil Infrastructures book series (SUCI)

Abstract

In pavement design, three important geotechnical properties – CBR, OMC, and MDD are often used to determine the strength of a subgrade layer. To determine these properties in the laboratory is time consuming, laborious, very costly and sometimes infrequently performed due to lack of equipment. The aim of this study is therefore to develop regression models to estimate the strength properties using relatively easier index properties. Thirty – four soil samples were collected from various locations along Bida – Minna highway between 0.6–1.5 m depths for index, consistency, compaction and CBR tests. Based on the laboratory results, the CBR significantly related with sand, % fines, LL, PL, PI, OMC and MDD parameters. Satisfactory empirical correlations (R2 > 0.59) were found between the three strength properties and other index properties of the experimented soils. Seven best predictive models were developed to estimate the strength properties based on multiple linear regression analysis.

Keywords

California bearing ratio Soil physical properties Pavement Multiple regression analysis 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of GeologyFederal University of TechnologyMinnaNigeria
  2. 2.Road Research DepartmentNigerian Building and Road Research InstituteOttaNigeria

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