Two-dimensional simulation of debris flows over mobile bed: Enhancing the TRENT2D model by using a well-balanced Generalized Roe-type solver

Rosatti, Giorgio; Begnudelli, Lorenzo

doi:10.1016/j.compfluid.2012.10.006

Cited by 60 publications

(32 citation statements)

References 38 publications

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“…Mathematically, debris flows can be described as a twophase fluid composed by an interstitial liquid (water) and by granular matter (sediments) that constitutes the solid phase and has proper rheological properties (Pitman and Le, 2005;Rosatti et al, 2013). In the particular, accurate computational modelling approaches have been recently proposed either in a 1-D or in a 2-D setting (e.g.…”

Section: Fluid Flow Processmentioning

confidence: 99%

“…In this model the system of partial differential equations derived from the mass and momentum conservation principles is hyperbolic and characterized by a non-conservative nature. The details about the mathematical model and the associated finite-volume, explicit Godunov-type numerical approach are documented in Rosatti et al (2013). Applying this approach for each cell of the computational domain and for each time step values for the transposed vector of primitive physical variables, W , can be extracted by the following:…”

Section: Fluid Flow Processmentioning

confidence: 99%

“…In the particular, accurate computational modelling approaches have been recently proposed either in a 1-D or in a 2-D setting (e.g. Rosatti and Fraccarollo, 2006;Rosatti et al, 2013), considering the very relevant case of flows of water-sediments mixture without cohesive properties and, hence, with negligible fractions of clay and silt. Whereas plastic stresses may play a significant role due to significant fractions of clay and silt additional research efforts are still needed to computationally implement the most advanced rheological findings.…”

Section: Fluid Flow Processmentioning

confidence: 99%

“…By means of two-dimensional debris-flow simulation model over mobile bed -TRENT 2-D - (Armanini et al, 2009;Rosatti et al, 2013) the event of 4 August 2012 was reconstructed by using the detailed event documentation data.…”

Section: Process Modellingmentioning

confidence: 99%

“…apexes of alluvial fans), the subsequent step consists in representing the process propagation in space and time in those areas where the assets at risk are located. Regarding the debris-flow simulation process in the endangered area, the two-dimensional simulation model over mobile bed -TRENT 2-D -developed by Armanini et al (2009) and substantially enhanced by Rosatti et al (2013) has been applied. In this model the system of partial differential equations derived from the mass and momentum conservation principles is hyperbolic and characterized by a non-conservative nature.…”

Section: Fluid Flow Processmentioning

confidence: 99%

See 4 more Smart Citations

A physical approach on flood risk vulnerability of buildings

Mazzorana

Simoni²,

Scherer³

et al. 2014

Hydrol. Earth Syst. Sci.

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Abstract. The design of efficient hydrological risk mitigation strategies and their subsequent implementation relies on a careful vulnerability analysis of the elements exposed. Recently, extensive research efforts were undertaken to develop and refine empirical relationships linking the structural vulnerability of buildings to the impact forces of the hazard processes. These empirical vulnerability functions allow estimating the expected direct losses as a result of the hazard scenario based on spatially explicit representation of the process patterns and the elements at risk classified into defined typological categories. However, due to the underlying empiricism of such vulnerability functions, the physics of the damage-generating mechanisms for a well-defined element at risk with its peculiar geometry and structural characteristics remain unveiled, and, as such, the applicability of the empirical approach for planning hazard-proof residential buildings is limited. Therefore, we propose a conceptual assessment scheme to close this gap. This assessment scheme encompasses distinct analytical steps: modelling (a) the process intensity, (b) the impact on the element at risk exposed and (c) the physical response of the building envelope. Furthermore, these results provide the input data for the subsequent damage evaluation and economic damage valuation. This dynamic assessment supports all relevant planning activities with respect to a minimisation of losses, and can be implemented in the operational risk assessment procedure.

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Section: Fluid Flow Processmentioning

confidence: 99%

Section: Fluid Flow Processmentioning

confidence: 99%

Section: Fluid Flow Processmentioning

confidence: 99%

Section: Process Modellingmentioning

confidence: 99%

Section: Fluid Flow Processmentioning

confidence: 99%

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A physical approach on flood risk vulnerability of buildings

Mazzorana

Simoni²,

Scherer³

et al. 2014

Hydrol. Earth Syst. Sci.

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Linking Debris Flows and Landslides to Large Floods in Gravel‐Bed Rivers

Marchi¹

2017

Gravel‐Bed Rivers

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A depth‐averaged two‐phase model for debris flows over erodible beds

Cao

et al. 2017

Earth Surf Processes Landf

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Mass exchange between debris flow and the bed plays a vital role in debris flow dynamics. Here a depth‐averaged two‐phase model is proposed for debris flows over erodible beds. Compared to previous depth‐averaged two‐phase models, the present model features a physical step forward by explicitly incorporating the mass exchange between the flow and the bed. A widely used closure model in fluvial hydraulics is employed to estimate the mass exchange between the debris flow and the bed, and an existing relationship for bed entrainment rate is introduced for comparison. Also, two distinct closure models for the bed shear stresses are evaluated. One uses the Coulomb friction law and Manning's equation to determine the solid and fluid resistances respectively, while the other employs an analytically derived formula for the solid phase and the mixing length approach for the fluid phase. A well‐balanced numerical algorithm is applied to solve the governing equations of the model. The present model is first shown to reproduce average sediment concentrations in steady and uniform debris flows over saturated bed as compared to an existing formula underpinned by experimental datasets. Then, it is demonstrated to perform rather well as compared to the full set of USGS large‐scale experimental debris flows over erodible beds, in producing debris flow depth, front location and bed deformation. The effects of initial conditions on debris flow mass and momentum gain are resolved by the present model, which explicitly demonstrates the roles of the wetness, porosity and volume of bed sediments in affecting the flow. By virtue of extended modeling cases, the present model produces debris flow efficiency that, as revealed by existing observations and empirical relations, increases with initial volume, which is enhanced by mass gain from the bed. Copyright © 2017 John Wiley & Sons, Ltd.

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Two-dimensional simulation of debris flows over mobile bed: Enhancing the TRENT2D model by using a well-balanced Generalized Roe-type solver

Cited by 60 publications

References 38 publications

A physical approach on flood risk vulnerability of buildings

A physical approach on flood risk vulnerability of buildings

Linking Debris Flows and Landslides to Large Floods in Gravel‐Bed Rivers

A depth‐averaged two‐phase model for debris flows over erodible beds

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