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Stability analysis and prediction of Bimslope failures using numerical modelling and hybrid meta-heuristic models

Author

Listed:
  • Arunava Ray

    (Vellore Institute of Technology)

  • Gopika C. Atul

    (Vellore Institute of Technology)

  • Sanjog Chhetri Sapkota

    (Sharda University)

  • Prasenjit Saha

    (ICFAI University)

  • Sourav Das

    (Barak Valley Engineering College)

  • Rajesh Rai

    (IIT(BHU))

  • Manoj Khandelwal

    (Federation University Australia)

Abstract

Bimsoil slope (Bimslope) or Soil-Rock-Mixture slopes are complex geological formations made up of geotechnically important ‘blocks’ enclosed in a finer-textured ‘matrix.’ These geomaterials possess heterogeneous properties owing to changes in the block and matrix properties that can arise from natural weathering processes or various anthropogenic activities. The present study focuses on the stability analysis of a Bimslope under varying block properties (orientation and volumetric block proportion), matrix type (Loamy sand, Sandy loam, and Silt loam) and matrix water content. The study indicates that the failure of a Bimslope is not governed by only one physical parameter but rather by a critical combination of block properties, matrix type and matrix water content. When the water content (

Suggested Citation

  • Arunava Ray & Gopika C. Atul & Sanjog Chhetri Sapkota & Prasenjit Saha & Sourav Das & Rajesh Rai & Manoj Khandelwal, 2025. "Stability analysis and prediction of Bimslope failures using numerical modelling and hybrid meta-heuristic models," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(8), pages 8995-9020, May.
    • Handle: RePEc:spr:nathaz:v:121:y:2025:i:8:d:10.1007_s11069-025-07164-9
    DOI: 10.1007/s11069-025-07164-9
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    References listed on IDEAS

    as
    1. Arunava Ray & Vikash Kumar & Amit Kumar & Rajesh Rai & Manoj Khandelwal & T. N. Singh, 2020. "Stability prediction of Himalayan residual soil slope using artificial neural network," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 3523-3540, September.
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