Generalized Viscoplastic Modeling of Debris Flow

Chen, Cheng-Lung

doi:10.1061/(asce)0733-9429(1988)114:3(237)

Cited by 111 publications

(52 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The event was originated by a very intense rainstorm: 25.4 mm of rain were measured in 30 minutes by the rain gage at Station 1. The volume of the deposits available for debris fl ow generation has been estimated to be around 8000-9000 m 3 . The overall duration of the event was of approximately 38 minutes and more than 20 different surges have been surveyed at Station 3.…”

Section: Non-cylindrical Rectangular Channel Test This Test Case Promentioning

confidence: 99%

“…The use of the correct rheological scheme provides the basis for the reliable modelling of the phenomenon. Mud fl ows, characterised by high fi ne particles content, are well represented by yield-stress viscoplastic fl uid models, among which the best known and widely used is the Bingham model [3]. On the other hand, granular debris fl ows dynamic can be described by granular fl uid models such as the Bagnold model of inertial regime [4].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Numerical modelling of catastrophic events produced by mud or debris flows

Schippa¹,

Pavan²

2011

Int. J. SAFE

View full text Add to dashboard Cite

Mud and debris fl ows are natural phenomena representing serious hazard for population and structures in mountain zones, because of their rapid occurrence and the diffi culty in forecasting the phenomena initiation. Numerical models can however be useful in predicting the peak discharge and the strength of fl owing mass, helping administrations in preparing risk mitigation measures. In this work, a numerical model for hyperconcentrated fl ows is presented. It is based on shallow water equations, with a particular source terms treatment which translates into an increased numerical stability and makes the model highly versatile. The test case applications focus on some fundamental characteristics necessary for debris-and mud-fl ow representation. In particular, classic dam-break problems have been used to test wave celerity and wet-dry fronts propagation, while a mud-fl ow dam-break problem has been chosen to investigate model sensibility to different rheological schemes. Then, the model has been applied to two real events that occurred in Northern Italy. The fi rst one is a debris fl ow which took place at Acquabona, near Cortina d'Ampezzo. This event is extensively documented, since it has been observed by a monitoring station prepared by the University of Padua. The second one is a tragic event, during which the little town of Stava has been stricken by a destructive mud fl ow caused by the collapse of two earth dams.

show abstract

Section: Non-cylindrical Rectangular Channel Test This Test Case Promentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Numerical modelling of catastrophic events produced by mud or debris flows

Schippa¹,

Pavan²

2011

Int. J. SAFE

View full text Add to dashboard Cite

show abstract

“…When using numerical simulation models for hazard assessment of debris flows, the selection of appropriate friction or flow resistance parameters is of great importance (Hungr, 1995;Ayotte and Hungr, 2000;Brufau et al, 2001;Arattano and Franzi, 2003;Revellino et al, 2004;Naef et al, 2006;Rickenmann et al, 2006). For the detailed reviews of different equations describing the flow resistance relations, represented by S f , see Hungr (1995), Chen (1988), Brufau et al (2001) and Naef et al (2006). The flow resistance term depends on the rheology of the material and is a function of several different known parameters of the flow (Hungr, 1995).…”

Section: Discussionmentioning

confidence: 99%

“…Many researchers have developed rheological models for mudflows and debris flows. Theses models can be classified as: Newtonian models (Johnson, 1970;Trunk et al, 1986;Hunt, 1994;Hungr, 1995;Rickenmann, 1999), Bingham model (Johnson, 1970;O'Brien and Julien, 1988;Liu and Mei, 1989;Jan, 1997;Whipple, 1997;Fraccarollo and Papa, 2000;Pastor et al, 2004), Herschel-Bulkley model García, 1997, 1998;Imran et al, 2001;Remaître et al, 2005;Rickenmann et al, 2006), generalized viscoplastic model (Chen, 1988), dilatant fluid models (Bagnold, 1954;Takahashi, 1978Takahashi, , 1991Mainali and Rajaratnam, 1994), dispersive or turbulent stress models (Arai and Takahashi, 1986;O'Brien and Julien, 1988;Hunt, 1994), biviscous modified Bingham model (Dent and Lang, 1983), and frictional models (Iverson, 1997;Chen and Lee, 1999;Arattano and Franzi, 2003;Pastor et al, 2004;Rickenmann et al, 2006;Naef et al, 2006). Takahashi and Tsujimoto (1984) presented a twodimensional finite difference model for debris flows based on a dilatant-fluid model coupled with coulomb flow resistance, and modified the model to include turbulence (Taka-hashi et al, 1991(Taka-hashi et al, , 1992.…”

Section: Introductionmentioning

confidence: 99%

GIS-based two-dimensional numerical simulation of rainfall-induced debris flow

Wang

Esaki

2008

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. This paper aims to present a useful numerical method to simulate the propagation and deposition of debris flow across the three dimensional complex terrain. A depth-averaged two-dimensional numerical model is developed, in which the debris and water mixture is assumed to be continuous, incompressible, unsteady flow. The model is based on the continuity equations and Navier-Stokes equations. Raster grid networks of digital elevation model in GIS provide a uniform grid system to describe complex topography. As the raster grid can be used as the finite difference mesh, the continuity and momentum equations are solved numerically using the finite difference method. The numerical model is applied to simulate the rainfall-induced debris flow occurred in 20 July 2003, in Minamata City of southern Kyushu, Japan. The simulation reproduces the propagation and deposition and the results are in good agreement with the field investigation. The synthesis of numerical method and GIS makes possible the solution of debris flow over a realistic terrain, and can be used to estimate the flow range, and to define potentially hazardous areas for homes and road section.

show abstract

“…Studies on a constitutive model of debris flow dynamics started in the 1970s [8][9][10][11]. Calculation methods for velocity can be divided into two types based on the debris flow properties, i.e.…”

Section: Introductionmentioning

confidence: 99%

A Modified Radial Basis Function Method for Predicting Debris Flow Mean Velocity

Yang

2017

J. Eng. Technol. Sci.

View full text Add to dashboard Cite

Abstract. This study focused on a model for predicting debris flow mean velocity. A total of 50 debris flow events were investigated in the Jiangjia gully. A modified radial basis function (MRBF) neural network was developed for predicting the debris flow mean velocity in the Jiangjia gully. A threedimensional total error surface was used for establishing the predicting model. A back propagation (BP) neural network and the modified Manning formula (MMF) were used as benchmarks. Finally, the sensitivity degrees of five variables that influence debris flow velocity were analyzed. The results show that the mean error and the relative mean error of the 10 testing samples were only 0.31 m/s and 5.92%, respectively. This proves that the MRBF method performed very well in predicting debris flow mean velocity. Gradient of channel and unstable layer thickness have a greater impact on debris flow mean velocity than the other three influencing variables. This proves that the proposed MRBF neural network is reliable in predicting debris flow mean velocity.

show abstract

Generalized Viscoplastic Modeling of Debris Flow

Cited by 111 publications

References 21 publications

Numerical modelling of catastrophic events produced by mud or debris flows

Numerical modelling of catastrophic events produced by mud or debris flows

GIS-based two-dimensional numerical simulation of rainfall-induced debris flow

A Modified Radial Basis Function Method for Predicting Debris Flow Mean Velocity

Contact Info

Product

Resources

About