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Numerical modelling of rheological properties of landslide debris

Author

Listed:
  • Arunava Ray

    (IIT(BHU))

  • Harshal Verma

    (IIT(BHU))

  • Ashutosh Kumar Bharati

    (IIT(BHU))

  • Rajesh Rai

    (IIT(BHU))

  • Radhakanta Koner

    (IIT(ISM))

  • Trilok Nath Singh

    (IIT Bombay)

Abstract

Debris flow has caused severe human casualties and economic losses in landslide-prone areas around the globe. A comprehensive understanding of the morphology and deposition mechanisms of debris flows is crucial to delineate the extent of a debris flow hazard. However, due to inherent complex field topography and varying compositions of the flowing debris, coupled with a lack of fundamental understanding about the factors controlling the geomaterial flow, interparticle interactions and its final settlement resulted in a limited understanding of the flow behaviour of the landslide debris. In this study, a physical model was set up in the laboratory to simulate and calibrate the debris flow using PFC, a distinct element modelling-based software. After calibration, a case study of the Varunavat landslide was taken to validate the developed numerical model. Following validation with an acceptable level of confidence, several models were generated to evaluate the effect of slope height, slope angle, slope profile, and grain size distribution of the dislodged geomaterial in the rheological properties of debris flow. Both qualitative and quantitative analysis of the landslide debris flow was performed. Finally, the utility of retaining wall and their effect on debris flow is also studied with different retaining wall positions along the slope surface.

Suggested Citation

  • Arunava Ray & Harshal Verma & Ashutosh Kumar Bharati & Rajesh Rai & Radhakanta Koner & Trilok Nath Singh, 2022. "Numerical modelling of rheological properties of landslide debris," 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. 110(3), pages 2303-2327, February.
    • Handle: RePEc:spr:nathaz:v:110:y:2022:i:3:d:10.1007_s11069-021-05038-4
    DOI: 10.1007/s11069-021-05038-4
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    References listed on IDEAS

    as
    1. Arunava Ray & R. E. S. Chaitanya Kumar & Rajesh Rai & Suprakash Gupta, 2020. "Risk chart for identification of potential landslide due to the presence of residual soil," 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 3479-3498, September.
    2. Hariklia D. Skilodimou & George D. Bathrellos & Efterpi Koskeridou & Konstantinos Soukis & Dimitrios Rozos, 2018. "Physical and Anthropogenic Factors Related to Landslide Activity in the Northern Peloponnese, Greece," Land, MDPI, vol. 7(3), pages 1-18, July.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Zili Dai & Kai Xu & Mingtao Jiang, 2023. "Three-dimensional modeling of the impact behavior of debris flows in areas affected by earthquakes," 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. 117(2), pages 1767-1791, June.
    2. Qiang Xie & Zhilin Cao & Renjun Tian & Weichen Sun & Alessio Fumagalli & Haiyou Peng & Xiang Fu & Haoyang Luo, 2024. "Complex sliding characteristics of landslides and evaluation of the reinforcement with arched anti-slide piles based on 3D discrete element method: a case study," 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. 120(9), pages 8983-9007, July.

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