%0 Journal Article
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JHQP
%X Dynamic mesh adaptation methods require suitable refinement indicators. In the absence of a comprehensive error estimation theory, adaptive mesh refinement (AMR) for nonlinear hyperbolic conservation laws, e.g. compressible Euler equations, in practice utilizes mainly heuristic smoothness indicators like combinations of scaled gradient criteria. As an alternative, we describe in detail an easy to implement and computationally inexpensive criterion built on a two-level wavelet transform that applies projection and prediction operators from multiresolution analysis. The core idea is the use of the amplitude of the wavelet coefficients as smoothness indicator, as it can be related to the local regularity of the solution. Implemented within the fully parallelized and structured adaptive mesh refinement (SAMR) software system AMROC (Adaptive Mesh Refinement in Object-oriented C++), the proposed criterion is tested and comprehensively compared to results obtained by applying the scaled gradient approach. A rigorous quantification technique in terms of numerical adaptation error versus used finite volume cells is developed and applied to study typical two- and three-dimensional problems from compressible gas dynamics. It is found that the proposed multiresolution approach is considerably more efficient and also identifies  besides discontinuous shock and contact waves  in particular smooth rarefaction waves and their interaction as well as small-scale disturbances much more reliably. Aside from pathological cases consisting solely of planar shock waves, the majority of realistic cases show reductions in the number of used finite volume cells between 20 to 40%, while the numerical error remains basically unaltered.
%8 June
%9 journal article
%T Multiresolution analysis as a criterion for effective dynamic mesh adaptation: a case study for Euler equations in the SAMR framework AMROC
%@electronicmailaddress r.deiterding@soton.ac.uk
%@electronicmailaddress margarete.domingues@inpe.br
%@electronicmailaddress kai.schneider@univ-amu.fr
%@nexthigherunit 8JMKD3MGPCW/3ESGTTP
%K Block-structured parallel adaptive mesh refinement, Adaptation criteria, Multiresolution analysis, Wavelets, Compressible EULER equations, AMROC.
%@secondarytype PRE PI
%@usergroup self-uploading-INPE-MCTI-GOV-BR
%@usergroup simone
%@group
%@group LABAC-COCTE-INPE-MCTIC-GOV-BR
%@tertiarymark Trabalho não Vinculado à Tese/Dissertação
%@secondarymark A1_ENGENHARIAS_I A2_ENGENHARIAS_III A2_CIÊNCIA_DA_COMPUTAÇÃO B1_ENGENHARIAS_IV B2_MATERIAIS B3_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B3_ASTRONOMIA_/_FÍSICA
%@issn 0045-7930
%2 sid.inpe.br/mtc-m21c/2020/05.26.11.34.42
%@affiliation University of Southampton
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Aix-Marseille Université
%B Computers and Fluids
%@versiontype publisher
%P e104583
%4 sid.inpe.br/mtc-m21c/2020/05.26.11.34
%@documentstage not transferred
%D 2020
%V 205
%@doi 10.1016/j.compfluid.2020.104583
%A Deiterding, Ralf,
%A Domingues, Margarete Oliveira,
%A Schneider, Kai,
%@dissemination WEBSCI; PORTALCAPES.
%@area COMP
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}