Os datos relativos aos resultados deste artigo poden descargarse desde https://doi.org/10.17862/cranfield.rd.11836164.v1 baixo unha licenza CC-BY 4.0.[Abstract] In this paper a relaxed formulation of the a posteriori Multi-dimensional Optimal Order Detection (MOOD) limiting approach is introduced for weighted essentially non-oscillatory (WENO) finite volume schemes on unstructured meshes. The main goal is to minimise the computational footprint of the MOOD limiting approach by employing WENO schemes—by virtue of requiring a smaller number of cells to reduce their order of accuracy compared to an unlimited scheme. The key characteristic of the present relaxed MOOD formulation is that the Numerical Admissible Detector (NAD) is not uniquely de...
In this paper, a family of stencil selection algorithms is presented for WENO schemes on unstructure...
International audienceIn this paper, we investigate an original way to deal with the problems genera...
High-order numerical methods for Computational Fluid Dynamics have undergone significant fundamental...
In this paper a relaxed formulation of the a posteriori Multi-dimensional Optimal Order Detection (M...
In this paper the relaxed, high-order, Multidimensional Optimal Order Detection (MOOD) framework is ...
The solution of the non-hydrostatic compressible Euler equations using Weighted Essentially Non-Osci...
An assessment of two numerical formulations for high-order reconstruction on unstructured triangular...
Preprint for Finite Volume for Complex Applications 6 (FVCA6)The Multi-dimensional Optimal Order Det...
© 2014. In this paper, we generalize the maximum-principle-preserving (MPP) flux limiting technique ...
The Multi-dimensional Optimal Order Detection (MOOD) method for two-dimensional geometries has been ...
Understanding the motion of fluids is crucial for the development and analysis of new designs and pr...
The paper extends weighted essentially non-oscillatory (WENO) methods to three dimensional mixed-ele...
The Multi-dimensional Optimal Order Detection (MOOD) method has been designed by authors in [5] and ...
This paper presents the development and implementation of weighted-essentially-non-oscillatory (WENO...
International audienceIn this paper, we investigate the coupling of the Multi-dimensional Optimal Or...
In this paper, a family of stencil selection algorithms is presented for WENO schemes on unstructure...
International audienceIn this paper, we investigate an original way to deal with the problems genera...
High-order numerical methods for Computational Fluid Dynamics have undergone significant fundamental...
In this paper a relaxed formulation of the a posteriori Multi-dimensional Optimal Order Detection (M...
In this paper the relaxed, high-order, Multidimensional Optimal Order Detection (MOOD) framework is ...
The solution of the non-hydrostatic compressible Euler equations using Weighted Essentially Non-Osci...
An assessment of two numerical formulations for high-order reconstruction on unstructured triangular...
Preprint for Finite Volume for Complex Applications 6 (FVCA6)The Multi-dimensional Optimal Order Det...
© 2014. In this paper, we generalize the maximum-principle-preserving (MPP) flux limiting technique ...
The Multi-dimensional Optimal Order Detection (MOOD) method for two-dimensional geometries has been ...
Understanding the motion of fluids is crucial for the development and analysis of new designs and pr...
The paper extends weighted essentially non-oscillatory (WENO) methods to three dimensional mixed-ele...
The Multi-dimensional Optimal Order Detection (MOOD) method has been designed by authors in [5] and ...
This paper presents the development and implementation of weighted-essentially-non-oscillatory (WENO...
International audienceIn this paper, we investigate the coupling of the Multi-dimensional Optimal Or...
In this paper, a family of stencil selection algorithms is presented for WENO schemes on unstructure...
International audienceIn this paper, we investigate an original way to deal with the problems genera...
High-order numerical methods for Computational Fluid Dynamics have undergone significant fundamental...