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Very high order well-balanced schemes for non-prismatic one-dimensional channels with arbitrary shape

Academic Article
Publication Date:
2021
abstract:
Accurate modelling of shallow water flows in canals for realistic scenarios cannot neglect the variations of the size and shape of the cross-section along the canal. In typical situations, especially in view of applications to flows in networks of canals, a 2D model would be too costly, while the standard 1D Saint-Venant model for a rectangular channel with constant breadth would be too coarse. In this paper we derive efficient, high order accurate and robust numerical schemes for a 1.5D model, in which the canal can have an arbitrary cross-section: the shape can vary along the channel and is described by a depth-dependent breadth function σ(x,z), where x is the coordinate along the channel and z represents the vertical direction. Contrary to all previous schemes for this model, we reformulate the equations in a way that avoids the appearance of the moments of σ and of ∂σ/∂x in the source terms. Our numerical schemes are based on the path-conservative approach for dealing with non-conservative products, are well-balanced on the lake at rest solution and can treat wet-try transitions. They can be implemented with any order of accuracy. Schemes up to third order are explicitly constructed and tested, thanks to the CWENO reconstruction technique. Through a large set of numerical tests we show the performance of the new schemes and compare the results obtained with different orders of accuracy.
Iris type:
Articolo su Rivista
Keywords:
Channel of arbitrary shape; CWENO reconstruction; High-order finite volume scheme; Non-prismatic channel; Path-conservative scheme; Saint-Venant system; Shallow water equations; Well-balanced schemes
List of contributors:
Escalante, C.; Castro, M. J.; Semplice, M.
Authors of the University:
Analisi numerica
SEMPLICE MATTEO
Handle:
https://irinsubria.uninsubria.it/handle/11383/2128225
Published in:
APPLIED MATHEMATICS AND COMPUTATION
Journal
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URL

https://doi.org/10.1016/j.amc.2021.125993
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