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Sustainable Stabilization of Expansive Soils Using Metakaolin and Cement: Evaluation Through Soil–Water Characteristic Curve Analysis

Author

Listed:
  • Grzegorz Kacprzak

    (Faculty of Civil Engineering, Warsaw University of Technology, 00-637 Warsaw, Poland)

  • Muluager Bewket Demlew

    (Faculty of Civil and Water Resource Engineering, Bahir Dar Institute of Technology, Bahir Dar University, Bahir Dar P.O. Box 26, Ethiopia)

  • Semachew Molla Kassa

    (Faculty of Civil Engineering, Warsaw University of Technology, 00-637 Warsaw, Poland
    College of Engineering and Technology, Wachemo University, Hossaena P.O. Box. 667, Ethiopia)

  • Betelhem Zewdu Wubineh

    (College of Engineering and Technology, Wachemo University, Hossaena P.O. Box. 667, Ethiopia
    Faculty of Information and Communication Technology, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland)

Abstract

The study examines the use of environmentally friendly materials, such as metakaolin and cement, in various proportions to stabilize expansive plastic soils and assess their effects on the soil–water characteristic curve (SWCC). Metakaolin, a supplementary cementitious material with a lower carbon footprint than ordinary cement, enhances soil behavior through pozzolanic reactions. The incorporation of metakaolin and cement reduced the fitting parameter “a,” linked to the air-entry value (AEV), indicating that treated soils desaturate at lower suction values due to improved aggregate formation and pore structure. With increasing stabilizer content, the SWCC shifted toward lower suction values, reflecting improved hydraulic performance and reduced moisture sensitivity. The fitting parameter “n,” representing desaturation capacity and pore size distribution, increased with stabilizer content, suggesting a more uniform and durable soil structure. Overall, using metakaolin and cement enhances expansive soils’ structural and hydraulic behavior while conserving cement and reducing CO 2 emissions. Machine learning models, Random Forest (RF), Decision Tree (DT), and Artificial Neural Network (ANN), were developed to predict SWCC. The RF model achieved the best accuracy (R 2 = 0.9063, adjusted R 2 = 0.8631), demonstrating the reliability of ML in evaluating green soil stabilization methods.

Suggested Citation

  • Grzegorz Kacprzak & Muluager Bewket Demlew & Semachew Molla Kassa & Betelhem Zewdu Wubineh, 2025. "Sustainable Stabilization of Expansive Soils Using Metakaolin and Cement: Evaluation Through Soil–Water Characteristic Curve Analysis," Sustainability, MDPI, vol. 17(22), pages 1-24, November.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:22:p:10249-:d:1795716
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