Articles
  • Study on engineering strength properties of ceramic waste powder stabilized expansive soil using machine learning algorithms
  • D. Sivabalaselvamania,*, P. Kulanthaivelb, J. Yogapriyac and Inderjit Singh Dhanoad

  • aAssociate Professor, Department of Computer Applications, Kongu Engineering College, Perundurai, Tamilnadu, India
    bAssistant Professor, Department of Civil Engineering, Kongu Engineering College, Perundurai, Tamilnadu, India
    cProfessor, Department of Computer Science and Engineering, Kongunadu College of Engineering and Technology, Thottiam, Tamilnadu, India
    dAssistant Professor, Department of Computer Science and Engineering, Guru Nanak Dev Engineering College, Ludhiana, Punjab, India

  • This article is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In recent years, geotechnical engineers prefer environmentally friendly and sustainable techniques in order to improve the engineering characteristics of Expansive soil. The major objective of this paper is to study the engineering properties of Expansive soil with Ceramic Waste Powder (CWP). A series of laboratory tests such as pH and electrical conductivity tests, Unconfined Compression test, Splitting Tensile test, Free swell Index test, Swelling Pressure test, California – Bearing Ratio test, and Atterberg’s limit test were carried out in order to evaluate the engineering behavior of expansive soil with CWP. The experimental test results showed that the CWP significantly improved the engineering characteristics of the soil. CWP inclusion in expansive soil was tested at 0%, 5%, 10%, 15%, 20% and 25%. The maximum compressive strength and tensile strength were achieved at a 20% inclusion of CWP in the expansive soil. The maximum compressive strength and tensile strength at optimum CWP content of 20% were 641 kPa and 78 kPa respectively. The reduction of free swell index percentage from 2.7% to 0.5% indicated the replacement of swelling particles of expansive soil by non – swelling particles with respect to the inclusion of CWP. Using the Simple Regression Algorithm, Lasso Algorithm, Ridge Algorithm, and Support Vector Machine (SVM) Algorithm, multiple models for predicting CBR of an expanding soil stabilized with Ceramic Waste Powder have been proposed in this article. Hence, the CWP can be utilized as a soil stabilizing material in field applications


Keywords: Expansive soil, Ceramic waste powder, Strength properties, Support vector machine

This Article

  • 2022; 23(6): 902-911

    Published on Dec 31, 2022

  • 10.36410/jcpr.2022.23.6.902
  • Received on Jun 29, 2022
  • Revised on Sep 27, 2022
  • Accepted on Oct 26, 2022

Correspondence to

  • D. Sivabalaselvamani
  • Associate Professor, Department of Computer Applications, Kongu Engineering College, Perundurai, Tamilnadu, India
    Tel : +919940049001

  • E-mail: sivabalaselvamani@gmail.com