Regression Modelling of California Bearing Ratio (CBR) Predicted from Index Properties for Lateritic Soils

Regression Modelling of California Bearing Ratio (CBR) Predicted from Index Properties for Lateritic Soils

Kayode-Ojo, N.

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Kayode-Ojo

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Ehizokhale

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Ehiorobo

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J. O.

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Regression Modelling of California Bearing Ratio (CBR) Predicted from Index Properties for Lateritic Soils

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Abstract

Obtaining California Bearing Ratios (CBR) of soils for road construction projects could be a time-consuming and costly exercise. In order to reduce the time and cost of obtaining CBR values of soils, this paper presents a mathematical relationship between index properties of lateritic soils, which can easily be obtained from simple laboratory investigations, and their CBR (soaked and unsoaked) values.

References

15 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

How to Cite This Article

Kayode-Ojo, N.. 2019. \u201cRegression Modelling of California Bearing Ratio (CBR) Predicted from Index Properties for Lateritic Soils\u201d. Global Journal of Research in Engineering - E: Civil & Structural GJRE-E Volume 19 (GJRE Volume 19 Issue E4): .

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GJRE Volume 19 Issue E4
Pg. 39- 55

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-E Classification: FOR Code: 090599

Submission ReceivedDecember 11, 2018
Peer Review Double Blind
Handling Editor
Accepted December 31, 2018
Published January 15, 2019

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v1.2

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November 5, 2019

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