swMATH ID: 21531
Software Authors: George, David L.; Iverson, Richard M.
Description: A depth-averaged debris-flow model that includes the effects of evolving dilatancy. II: Numerical predictions and experimental tests. We evaluate a new depth-averaged mathematical model that is designed to simulate all stages of debris-flow motion, from initiation to deposition. A companion paper shows how the model’s five governing equations describe simultaneous evolution of flow thickness, solid volume fraction, basal pore-fluid pressure and two components of flow momentum. Each equation contains a source term that represents the influence of state-dependent granular dilatancy. Here, we recapitulate the equations and analyse their eigenstructure to show that they form a hyperbolic system with desirable stability properties. To solve the equations, we use a shock-capturing numerical scheme with adaptive mesh refinement, implemented in an open-source software package we call D-Claw. As tests of D-Claw, we compare model output with results from two sets of large-scale debris-flow experiments. One set focuses on flow initiation from landslides triggered by rising pore-water pressures, and the other focuses on downstream flow dynamics, runout and deposition. D-Claw performs well in predicting evolution of flow speeds, thicknesses and basal pore-fluid pressures measured in each type of experiment. Computational results illustrate the critical role of dilatancy in linking coevolution of the solid volume fraction and pore-fluid pressure, which mediates basal Coulomb friction and thereby regulates debris-flow dynamics.par For part I, see [].
Homepage: https://github.com/dlgeorge/D-Claw
Source Code:  https://github.com/dlgeorge/D-Claw
Related Software: HE-E1GODF; GEOCLAW; PVM; CLAWPACK; chammp; ReALE; Chemotaxis; SedFoam; MPAS-Ocean; SWASHES; HLLE; VisIt; CUDA; TENSOR; GitHub; BayesDA; Optimization Toolbox; Matlab; CitcomS; ma2dfc
Cited in: 24 Documents

Citations by Year