Extension of a Roe-type Riemann solver scheme to model non-hydrostatic pressure shallow flows

被引:4
作者
Echeverribar, I [1 ,2 ]
Brufau, P. [1 ]
Garcia-Navarro, P. [1 ]
机构
[1] Univ Zaragoza, I3A, Zaragoza, Spain
[2] Hydronia Europe SL, Madrid, Spain
关键词
Non hydrostatic pressure; Steady; unsteady; Implicit; explicit; Full-hyperbolic; Roe solver; FREE-SURFACE FLOW; NUMERICAL-SIMULATION; BOUSSINESQ EQUATIONS; WAVE-PROPAGATION; WATER EQUATIONS; FINITE-VOLUME; SOURCE TERMS; APPROXIMATIONS; CONSERVATION; ACCURATE;
D O I
10.1016/j.amc.2022.127642
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The aim of this work is, first of all, to extend a finite volume numerical scheme, previously designed for hydrostatic Shallow Water (SWE) formulation, to Non Hydrostatic Pressure (NHP) depth averaged model . The second objective is focused on exploring two available options in the context of previous work in this field: Hyperbolic-Elliptic (HE-NHP) for-mulations solved with a Pressure-Correction technique (PCM) and Hyperbolic Relaxation formulations (HR-NHP). Thus, besides providing an extension of a robust and well-proved Roe-type scheme developed for hydrostatic SWE to solve NHP systems, the work assesses the use of first order numerical schemes in the kind of phenomena typically solved with higher order methods. In particular, the relative performance and differences of both NHP numerical models are explored and analysed in detail. The performance of the models is compared using a steady flow test case with quasi-analytical solution and another un-steady case with experimental data, in which frequencies are analysed in experimental and computational results. The results highlight the need to understand the behaviour of a parameter-dependent model when using it as a prediction tool, and the importance of a proper discretization of non-hydrostatic source terms to ensure stability. On the other hand, it is proved that the incorporation of a non-hydrostatic model to a shallow water Roe solver provides good results.(c) 2022 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
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页数:39
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