نتایج جستجو برای: richards model

تعداد نتایج: 2106121  

Journal: :Brock Education Journal 2003

Journal: :Proceedings of the National Academy of Sciences 2016

Journal: :Nature Structural & Molecular Biology 2009

Journal: :CoRR 2015
Pierre Horgue Jacques Franc Romain Guibert Gérald Debenest

In this note, the existing porousMultiphaseFoam toolbox, developed initially for any two-phase flow in porous media is extended to the specific case of the Richards’ equation which neglect the pressure gradient of the non-wetting phase. This model is typically used for saturated and unsaturated groundwater flows. A Picard’s algorithm is implemented to linearize and solve the Richards’ equation ...

2009
Robert Eymard Marie Henry Danielle Hilhorst

In this paper we consider a two-phase flow problem in porous media and study its singular limit as the viscosity of the air tends to zero; more precisely, we prove the convergence of subsequences to solutions of a generalized Richards model.

2004
Yu-Shu Wu Lehua Pan

[1] This paper presents analytical solutions for one-dimensional radial transient flow through a horizontal, unsaturated fractured rock formation. In these solutions, unsaturated flow through fractured media is described by a linearized Richards’ equation, while fracture-matrix interaction is handled using the dual-continuum concept. Although linearizing Richards’ equation requires a specially ...

2003
Steven Logghe Ben Immers

SUMMARY This paper presents an extension of Lighthill, Whitham and Richards' dynamic traffic flow model (LWR) to a number of vehicle classes. Each class will be described by a separate fundamental diagram. When the various diagrams are similar in shape a scaling can be carried out that is related to the passenger-car equivalents. We present both an analytical framework and a numerical computati...

2003
Guofa Zhou Guiyun Yan

We analyzed the dynamics of cumulative severe acute respiratory syndrome (SARS) cases in Singapore, Hong Kong, and Beijing using the Richards model. The predicted total SARS incidence was close to the actual number of cases; the predicted cessation date was close to the lower limit of the 95% confidence interval.

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