A relaxed a posteriori MOOD algorithm for multicomponent compressible flows using high-order finite-volume methods on unstructured meshes

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dc.contributor.authorTsoutsanis, Panagiotis
dc.contributor.authorKumar, Machavolu Sai Santosh Pavan
dc.contributor.authorFarmakis, Pericles S.
dc.date.accessioned2022-10-05T14:19:34Z
dc.date.available2022-10-05T14:19:34Z
dc.date.issued2022-09-20
dc.description.abstractIn this paper the relaxed, high-order, Multidimensional Optimal Order Detection (MOOD) framework is extended to the simulation of compressible multicomponent flows on unstructured meshes. The diffuse interface methods (DIM) paradigm is used that employs a five-equation model. The implementation is performed in the open-source high-order unstructured compressible flow solver UCNS3D. The high-order CWENO spatial discretisation is selected due to its reduced computational footprint and improved non-oscillatory behaviour compared to the original WENO variant. Fortifying the CWENO method with the relaxed MOOD technique has been necessary to further improve the robustness of the CWENO method. A series of challenging 2-D and 3-D compressible multicomponent flow problems have been investigated, such as the interaction of a shock with a helium bubble, and a water droplet, and the shock-induced collapse of 2-D and 3-D bubbles arrays. Such problems are generally very stiff due to the strong gradients present, and it has been possible to tackle them using the extended MOOD-CWENO numerical framework.en_UK
dc.identifier.citationTsoutsanis P, Kumar MSSP, Farmakis PS. (2023) A relaxed a posteriori MOOD algorithm for multicomponent compressible flows using high-order finite-volume methods on unstructured meshes. Applied Mathematics and Computation, Volume 437, January 2023, Article number 127544en_UK
dc.identifier.issn0096-3003
dc.identifier.urihttps://doi.org/10.1016/j.amc.2022.127544
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18525
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleA relaxed a posteriori MOOD algorithm for multicomponent compressible flows using high-order finite-volume methods on unstructured meshesen_UK
dc.typeArticleen_UK

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