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Predicting Soaked Cbr Value Of Fine Grained Soils Using Index And Compaction Characteristics

Submitted2013-07-03
Last Update2013-07-03
TitlePredicting Soaked Cbr Value Of Fine Grained Soils Using Index And Compaction Characteristics
Author(s)Author #1
Author title:
Name: Ramasubbarao, G.V.
Org: Associate Professor, Department of Civil Engineering, S.R.K. Institute of Technology, Enikepadu-521 108, Vijayawada, Andhra Pradesh, India.
Country:
Email: gvramasubbarao@gmail.com

Author #2
Author title:
Name: Siva Sankar, G
Org: Assistant Professor, Department of Civil Engineering, M.V.R. College of Engineering and Technology.
Country:
Email: shankar.civil.34@gmail.com

Other Author(s)
Contact AuthorAuthor #1
Alt Email: gvramasubbarao@gmail.com
Telephone:
KeywordsSoaked CBR value, Regression, Model, Coefficient of determination (R2).
AbstractCalifornia Bearing Ratio (CBR) value is an indicator of subgrade soil strength and is used often for design of flexible pavements. The conventional soaked CBR testing method is expensive and time consuming. To overcome this situation, it is appreciable to predict CBR value of subgrade soil with simple properties of soils such as index properties which include grain size analysis (% Gravel, % Sand, % Fines), Liquid Limit (LL), Plastic Limit (PL), and compaction characteristics; namely Maximum Dry Density (MDD) and Optimum Moisture Content (OMC). The present study aims at developing regression-based models for predicting soaked CBR value for fine-grained subgrade soils in terms of gran size analysis, LL, PL, MDD and OMC.
Paperview paper 2537.pdf (142KB)

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