Correlation Between Consolidation Parameters And Index Properties Of Remolded Fine-Grained Soil

Abstract

The Engineering Properties Of Soils Are Measured Either In The Field Or The Laboratory. Measurement Of Some Of The Engineering Properties Of Soils, Such As Consolidation Parameters, Requires Geotechnical Equipment And Expert Manpower, Which Could Be Costly And Time Taking. To Mitigate This Issue, Several Researchers Approximated These Soil Properties Based On The Easily Available Basic Property Values And In-Situ Test Findings. This Study Presents Correlation Equations For Predicting Consolidation Parameters From Basic Soil Index Tests. The Consolidation Parameters Considered Are Compression Index (Cc), Swelling Index (Cs), And Consolidation Coefficient (Cv). In Order To Develop The Correlation Equations For These Consolidation Characteristics From The Index Properties Of The Soil, Disturbed Soil Samples Were Collected From Eleven (11) Tests Pits In Bishoftu At Depths Of 1.5m & 3m. Then, The Laboratory Tests Including Atterberg Limit Test, Specific Gravity Test, Compaction Test, And One-Dimensional Consolidation Test Were Conducted. After Having All The Test Results, New Correlations Equations For The Consolidation Characteristics Have Been Developed By Statistical Analysis Using Linear Regression Analysis Methods For The Prediction Of? & ?From Liquid Limit, Plastic Limit, Plastic Index, Specific Gravity, And Initial Void Ratio Of The Fine-Grained Soils. According To The Correlation Analysis Ll, Pl, Pi &? Yield A Strong Relationship With Compression Index And Swelling Index. Similarly, Pi & Ll Have A Better Relationship With The Consolidation Coefficient. The Correlation Equations Of Cc, Cs & From Index Properties Were Developed From Single And Multiple Linear Regression Analysis, The Results From The Single Regression Analysis Indicated Correlations Using Ll And Pi Provided Better Estimates Of Cc, Cs And Cv Respectively. The Results From The Multiple Regression Analysis Indicated That Correlations Using Ll In Combination With Eo, Pl In Combination With Pi, And Pi In Combination With Eo Provided Better Estimates Of Cc, Cs And Cv, Respectively. Finally, Comparison Between The Newly Developed Correlation Equations With The Existing Correlation Equation Was Made. The Result Of The Comparison Of The Newly Developed Correlation Equations With Existing Correlation Equations Indicates That The Correlation Equations Developed From This Study Perform Better Than The Existing Correlations.