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Numerical predictions and experimental tests.", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70170254", "url": "https://pubs.usgs.gov/publication/70170254" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70170254 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1098/rspa.2013.0820", "url": "https://doi.org/10.1098/rspa.2013.0820" } ], "journal": { "@type": "Periodical", "name": "Proceedings of the Royal Society A", "volumeNumber": "470", "issueNumber": "2170" }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Proceedings of the Royal Society A" } ], "datePublished": "2014", "dateModified": "2019-03-06", "abstract": "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\u2019s 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 analyze 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. 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