Adaptive mapping for high order WENO methods
In this paper, a novel mapping approach through the use of adaptive mapping functions is introduced for high order weighted essentially non-oscillatory (WENO) methods. The new class of adaptive mapping functions are designed to adjust themselves to the solution based on a simple parameter calculated...
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sg-ntu-dr.10356-1434482023-03-04T17:12:18Z Adaptive mapping for high order WENO methods Vevek, U. S. Zang, Bin New, Tze How School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Hyperbolic Problems Finite Volume In this paper, a novel mapping approach through the use of adaptive mapping functions is introduced for high order weighted essentially non-oscillatory (WENO) methods. The new class of adaptive mapping functions are designed to adjust themselves to the solution based on a simple parameter calculated using the smoothness indicators that are readily available during computation. It is shown that this adaptive nature allows the resultant mapped WENO scheme to maintain sub-stencil weights close to the optimal weights in smooth regions without amplifying the weights of non-smooth stencils containing discontinuities. Therefore, adaptive mapping achieves enhanced accuracy in smooth regions and is more resistant against spurious oscillations near discontinuities. Taylor series analysis of the seventh order finite volume WENO scheme has been performed to demonstrate the loss of accuracy of the original WENO method near critical points. The convergence rates of the seventh order finite volume WENO scheme with adaptive mapping have been shown through a simple numerical example. Excellent results have been obtained for one-dimensional linear advection cases especially over long output times. Improved results have also been obtained for one- and two-dimensional Euler equation test cases. Ministry of Education (MOE) Nanyang Technological University National Supercomputing Centre (NSCC) Singapore Accepted version The authors gratefully acknowledge the support for the present work by Singapore Ministry of Education AcRF Tier-2 grant (MOE2014-T2-1-002), National Supercomputing Center Singapore and support for the first author through Graduate Research Officer scholarship from the School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore. 2020-09-02T02:51:41Z 2020-09-02T02:51:41Z 2019 Journal Article Vevek, U. S., Zang, B., & New, T. H. (2019). Adaptive mapping for high order WENO methods. Journal of Computational Physics, 381, 162-188. doi:10.1016/j.jcp.2018.12.034 0021-9991 https://hdl.handle.net/10356/143448 10.1016/j.jcp.2018.12.034 2-s2.0-85060194264 381 162 188 en Journal of Computational Physics © 2019 Elsevier Inc. All rights reserved. This paper was published in Journal of Computational Physics and is made available with permission of Elsevier Inc. application/pdf |
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Engineering::Mechanical engineering Hyperbolic Problems Finite Volume Vevek, U. S. Zang, Bin New, Tze How Adaptive mapping for high order WENO methods |
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In this paper, a novel mapping approach through the use of adaptive mapping functions is introduced for high order weighted essentially non-oscillatory (WENO) methods. The new class of adaptive mapping functions are designed to adjust themselves to the solution based on a simple parameter calculated using the smoothness indicators that are readily available during computation. It is shown that this adaptive nature allows the resultant mapped WENO scheme to maintain sub-stencil weights close to the optimal weights in smooth regions without amplifying the weights of non-smooth stencils containing discontinuities. Therefore, adaptive mapping achieves enhanced accuracy in smooth regions and is more resistant against spurious oscillations near discontinuities. Taylor series analysis of the seventh order finite volume WENO scheme has been performed to demonstrate the loss of accuracy of the original WENO method near critical points. The convergence rates of the seventh order finite volume WENO scheme with adaptive mapping have been shown through a simple numerical example. Excellent results have been obtained for one-dimensional linear advection cases especially over long output times. Improved results have also been obtained for one- and two-dimensional Euler equation test cases. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Vevek, U. S. Zang, Bin New, Tze How |
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Article |
author |
Vevek, U. S. Zang, Bin New, Tze How |
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Vevek, U. S. |
title |
Adaptive mapping for high order WENO methods |
title_short |
Adaptive mapping for high order WENO methods |
title_full |
Adaptive mapping for high order WENO methods |
title_fullStr |
Adaptive mapping for high order WENO methods |
title_full_unstemmed |
Adaptive mapping for high order WENO methods |
title_sort |
adaptive mapping for high order weno methods |
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2020 |
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https://hdl.handle.net/10356/143448 |
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1759853431746461696 |