Development of Mesh-free Numerical Model in the Simulation of Submerged Landslide Phenomena

Document Type : Research Article

Authors

1 Ph.D. Candidate, Civil Engineering, Semnan University, Semnan, Iran

2 Department of Civil, Geological and Mining Engineering, Polytechnic Montreal, Montreal, Canada

3 Assistant Professor, Civil Engineering, Semnan University, Semnan, Iran

Abstract

Landslides are complex phenomena that commonly occur in mountains, oceans, bays, and reservoirs. Considering their economic and life consequences in recent years, it is necessary to find effective methods for prediction of landslides and their destructive effects. Landslide is a complicated phenomenon (especially under water), which involves a highly-reformative multiphase flow of granular materials. Considering the restrictions of the traditional mesh-based numerical models in the modeling of large deformations and the discontinuities, meshless Lagrangian (particle) methods can be the effective alternatives for simulation of landslides. The meshless Lagrangian methods such as Smoothed Particle Hydrodynamics (SPH) and Moving Particle Semi-implicit Method (MPS) provide the opportunity to model the deformations and fragmentation in sediment flow. In this research, an MPS meshless Lagrangian model has been developed for modeling of rigid and deformable landslides. In this model, the solid phase is considered as a non- Newtonian visco-plastic fluid, whose behavior is predicted using the µ (I) rheological model. The model has been validated and evaluated in comparison with the available experimental and numerical data. The water surface and the sediment profile obtained from numerical model shows a good compatibility with the experiments. The RMSE value in predicting the numerical water surface and sediment profiles of current study found to be lower compared to the other numerical methods.  

Keywords


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  • Receive Date: 23 August 2017
  • Revise Date: 31 October 2017
  • Accept Date: 08 November 2017
  • First Publish Date: 21 January 2018