MULTIPLE LINEAR REGRESSION MODELLING FOR THE COMPACTION CHARACTERISTICS OF SEDIMENTARY SOIL MIXED BENTONITE AS COMPACTED LINER

Authors

  • Norazlan Khalid School of Civil Engineering, College of Engineering, UiTM Shah Alam, Malaysia https://orcid.org/0000-0003-1379-472X
  • Mazidah Mukri School of Civil Engineering, College of Engineering, UiTM Shah Alam, Malaysia
  • Norhazwani Md Zain School of Civil Engineering, College of Engineering, UiTM Shah Alam, Malaysia
  • Zakiah Razak Bahagian Struktur, Perbadanan Kemajuan Negeri Selangor, Selangor, Malaysia
  • Ismacahyadibagus Mohamed Jais School of Civil Engineering, College of Engineering, UiTM Shah Alam, Malaysia

DOI:

https://doi.org/10.11113/jurnalteknologi.v85.20161

Keywords:

Compaction, sedimentary residual soil, bentonite, soil liner, regression modelling

Abstract

This paper attempts to develop a prediction model for compaction characteristics such as maximum dry density (MDD) and optimum moisture content (OMC) of sedimentary residual soil mixed with bentonite as compacted liner. This prediction model was based on the laboratories testing data such as compaction testing and Atterberg limit testing of residual soil mixed with bentonite. Meanwhile, compaction testing was conducted at the different compaction energies. The Multiple Linear Regression (MLR) analysis method was selected to develop a model in determining the maximum dry density (MDD) and optimum moisture content (OMC). The predicted compaction model developed in this study was validated in accordance with the statistical validation steps and conditions. It was found from the modelling analysis, the significant relationship between the compaction energies (E) and OMC for MDD model. Meanwhile, it shows the significant relationship between liquid limit (LL), plastic limit (PL), percentage bentonite (B) and compaction energies (E) for OMC model. The fitted regression model shows the reasonably good regression coefficient for MDD model is (R2 = 78.5%) and for OMC model is (R2 = 71.9%). The models were validated by comparing between the predicted model with measured model data from published study data. It was found, the determination coefficient and mean square error (MSE) for validated model between the predicted model and the measured models gave a value of R2 = 88.7% with MSE = 0.12% for MDD model and R2 = 88% with MSE = 4.3% for OMC model. 

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Published

2023-09-17

Issue

Vol. 85 No. 6: November 2023

Section

Science and Engineering

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Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.

How to Cite

MULTIPLE LINEAR REGRESSION MODELLING FOR THE COMPACTION CHARACTERISTICS OF SEDIMENTARY SOIL MIXED BENTONITE AS COMPACTED LINER. (2023). Jurnal Teknologi (Sciences & Engineering), 85(6), 181-186. https://doi.org/10.11113/jurnalteknologi.v85.20161