High-order hybrid essentially non-oscillatory spectral difference method for hyperbolic conservation laws on unstructured curved quadrilateral grids

We propose a new hybrid limiting approach for the high-order spectral difference (SD) method for compressible flow computations. This approach preserves the key advantages of the SD method—such as compact stencils, flexibility on unstructured grids, and high-order accuracy—while enhancing its robustness near discontinuities. To achieve this, we extend the targeted essentially non-oscillatory (TENO) troubled-cell indicator (TCI) to unstructured grids composed of curved quadrilateral cells. The hybrid strategy applies the standard SD method in smooth regions and activates compact nonlinear limiters only in troubled cells identified by the TENO TCI. By embedding the TENO TCI directly into the linear weights of the compact nonlinear limiter, the contribution of low-order non-oscillatory reconstructions is set to zero in smooth regions, ensuring that high-order accuracy is maintained. As a result, parameter tuning in the nonlinear limiter primarily targets high-wavenumber regions and strong discontinuities. The proposed hybrid limiter demonstrates superior performance compared to compact weighted essentially non-oscillatory limiters, particularly in capturing small-scale turbulent structures near discontinuities. Extensive numerical experiments on both structured and unstructured grids validate the accuracy, robustness, and computational efficiency of the proposed method.

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Publication Details

Journal
Physics of Fluids
Published
2025-07-01
DOI
https://doi.org/10.1063/5.0270464
Citations
2
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
Field-Weighted Citation Impact
2.67

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article

High-order hybrid essentially non-oscillatory spectral difference method for hyperbolic conservation laws on unstructured curved quadrilateral grids

Kuangxu Chen, Chunlei Liang
2 citations
Physics of Fluids
Computational Fluid Dynamics and Aerodynamics
2.67
article

High-order hybrid essentially non-oscillatory spectral difference method for hyperbolic conservation laws on unstructured curved quadrilateral grids

Kuangxu Chen, Chunlei Liang
article en
2 citations

Abstract

We propose a new hybrid limiting approach for the high-order spectral difference (SD) method for compressible flow computations. This approach preserves the key advantages of the SD method—such as compact stencils, flexibility on unstructured grids, and high-order accuracy—while enhancing its robustness near discontinuities. To achieve this, we extend the targeted essentially non-oscillatory (TENO) troubled-cell indicator (TCI) to unstructured grids composed of curved quadrilateral cells. The hybrid strategy applies the standard SD method in smooth regions and activates compact nonlinear limiters only in troubled cells identified by the TENO TCI. By embedding the TENO TCI directly into the linear weights of the compact nonlinear limiter, the contribution of low-order non-oscillatory reconstructions is set to zero in smooth regions, ensuring that high-order accuracy is maintained. As a result, parameter tuning in the nonlinear limiter primarily targets high-wavenumber regions and strong discontinuities. The proposed hybrid limiter demonstrates superior performance compared to compact weighted essentially non-oscillatory limiters, particularly in capturing small-scale turbulent structures near discontinuities. Extensive numerical experiments on both structured and unstructured grids validate the accuracy, robustness, and computational efficiency of the proposed method.

Physics of FluidsVol. 37(7)
Clarkson University (US), Shenzhen Technology University (CN)
National Science Foundation, National Key Research and Development Program of China, Air Force Office of Scientific Research
Openalex Percentile: Top 11%
Computational Fluid Dynamics and Aerodynamics
2.67
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High-order hybrid essentially non-oscillatory spectral difference method for hyperbolic conservation laws on unstructured curved quadrilateral grids — Kuangxu Chen, Chunlei Liang · Physics of Fluids (2025) | TGRS Research Map | TGRS