2005
DOI: 10.1002/nme.1442
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High-order finite volume schemes on unstructured grids using moving least-squares reconstruction. Application to shallow water dynamics

Abstract: SUMMARYThis paper introduces the use of Moving Least Squares (MLS) approximations for the development of high-order finite volume discretizations on unstructured grids. The field variables and their succesive derivatives can be accurately reconstructed using this meshfree technique in a general nodal arrangement. The methodology proposed is used in the construction of low-dissipative highorder high-resolution schemes for the shallow water equations. In particular, second and third-orderreconstruction upwind sc… Show more

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Cited by 45 publications
(47 citation statements)
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References 42 publications
(54 reference statements)
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“…Figure 15 shows the carpet view of the water level at 7.2 t = seconds. The 1 p solution qualitatively compares well with that in [26] where a Riemann-solver-based method is used.…”
Section: Shallow Water Equationsmentioning
confidence: 59%
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“…Figure 15 shows the carpet view of the water level at 7.2 t = seconds. The 1 p solution qualitatively compares well with that in [26] where a Riemann-solver-based method is used.…”
Section: Shallow Water Equationsmentioning
confidence: 59%
“…This is in contrast to the results reported in [25] showing that the least-square finite element method is not able to capture the strong shock in the right location. The second case is another classical benchmark problem widely used to verify shallow water equation solvers [26]. Figure 15 (left) depicts the domain geometry.…”
Section: Shallow Water Equationsmentioning
confidence: 99%
“…) and the derivatives of [17,16,18]. A wide variety of kernel functions appear in the literature, most of them being spline or exponential functions.…”
Section: General Formulationmentioning
confidence: 99%
“…Once the shape functions and their derivatives have been evaluated at a certain location x x x x x x x x x x x x x x, the flow variables and their succesive derivatives are readily computed [17,16]. Note that, using fixed clouds, the MLS shape functions do not change in time and, therefore, they need to be computed only once at the preprocessing phase.…”
Section: Practical Computation Of the Mls Shape Functions On Unstructmentioning
confidence: 99%
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