Improved high-order high-resolution energy stable weighted essentially non-oscillatory plus scheme for shock/vortex problems
Author(s) -
S. H. Park,
Oh Joon Kwon,
Sang Lee
Publication year - 2022
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/5.0083675
Subject(s) - weighting , classification of discontinuities , vortex , term (time) , function (biology) , benchmark (surveying) , energy (signal processing) , parametric statistics , mathematics , resolution (logic) , shock (circulatory) , mathematical analysis , physics , algorithm , computer science , mechanics , statistics , quantum mechanics , medicine , geodesy , evolutionary biology , artificial intelligence , acoustics , biology , geography
In the present study, a high-order high-resolution energy stable weighted essentially non-oscillatory plus (ESWENO-P) scheme was developed by improving the weighting function in the energy stable weighted essentially non-oscillatory (ESWENO) scheme. First, the weighting function was modified by introducing a new user-defined parameter. Then, the fine-tuning term in the weighted essentially non-oscillatory-Z plus (WENO-ZP) scheme was adopted to the modified weighting function. A parametric study was conducted to determine the value of the user-defined parameter included in the fine-tuning term. To validate the accuracy and the resolution of the present ESWENO-P scheme, well known one- and two-dimensional benchmark flow problems involving shocks and vortices were tested. It was found that, compared to the ESWENO, the present ESWENO-P scheme is more stable near strong discontinuities. It was also observed that, compared to the WENO-ZP, the present ESWENO-P scheme was less sensitive to the user-defined parameter included in the fine-tuning term. Overall, compared to the existing weighted essentially non-oscillatory (WENO) family schemes, the present ESWENO-P scheme consistently resolves flows with high resolution without much computational overhead.
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