Abstract
Debris flow simulations are important in practical engineering. In this study, a graphics processing unit (GPU)-based numerical model that couples hydrodynamic and morphological processes was developed to simulate debris flow, transport, and morphological changes. To accurately predict the debris flow sediment transport and sediment scouring processes, a GPU-based parallel computing technique was used to accelerate the calculation. This model was created in the framework of a Godunov-type finite volume scheme and discretized into algebraic equations by the finite volume method. The mass and momentum fluxes were computed using the Harten, Lax, and van Leer Contact (HLLC) approximate Riemann solver, and the friction source terms were calculated using the proposed splitting point-implicit method. These values were evaluated using a novel 2D edge-based MUSCL scheme. The code was programmed using C++ and CUDA, which can run on GPUs to substantially accelerate the computation. After verification, the model was applied to the simulation of the debris flow process of an idealized example. The results of the new scheme better reflect the characteristics of the discontinuity of its movement and the actual law of the evolution of erosion and deposition over time. The research results provide guidance and a reference for the in-depth study of debris flow processes and disaster prevention and mitigation.
Highlights
Debris flows have occurred in many provinces and municipalities in China, and they can be disastrous, often destroying nearly everything in their path and threatening lives, property, and infrastructure [1,2,3]
Most debris flow models can be clarified as dynamic models and numerical models
Under the framework of a shallow sediment-geomorphology dynamic model, this study focused on a two-dimensional depth-averaged quasi-multiphase mixing model with non-uniform sediment transport to simulate the evolution of debris flows on inclined bed slopes
Summary
Debris flows have occurred in many provinces and municipalities in China, and they can be disastrous, often destroying nearly everything in their path and threatening lives, property, and infrastructure [1,2,3]. Sustainability 2021, 13, 7955 equations established by considering the momentum exchange between solid and liquid phases These models can explicitly reveal the relative motion and interaction between the fluid and the solid phase [16]. The liquid phase of debris flows is described by a non-Newtonian continuous medium, and the motion equation adopts the two-dimensional depth-averaged shallow water wave equation. By using the GPU Accelerated Surface Water Flow and Transport Model (GAST) model, which can accurately predict debris sediment transport and the debris sediment scouring process, GPU techniques were applied in a numerical model, making it possible to simulate the sediment transport and bed evolution in a highresolution but efficient way This method resolves the realistic features of debris sediment transport and uses a GPU-based parallel computing technique to accelerate calculations.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
