用于可压缩流动模拟和防止虚假涡流的广义自适应中央上风方案

Amareshwara Sainadh Chamarthi
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引用次数: 0

摘要

本研究介绍了一种新颖的自适应中央上风方案,用于模拟流场不连续的可压缩流。与 [1](Hoffmann、Chamarthi 和 Frankel,JCP 2024)中提出的基于中心梯度的重构方法相比,所提出的方法在计算效率上有显著提高。通过利用保守重构和特征变量重构的组合,所提出的方法展示了无振荡结果,同时有效降低了计算成本并改善了结果。此外,自适应中央上风算法不仅与 [1] 中基于梯度的重构兼容,还与其他现有方法兼容。在这方面,利用所提出的算法,标准的五阶/六阶重建方案也被证明优于现有方案,计算费用减少了 20%-30%,结果也得到了改善。值得注意的是,即使采用线性方案,所提出的方法在双层剪切层测试案例中也成功地防止了虚假涡流的产生,显示了其鲁棒性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A generalized adaptive central-upwind scheme for compressible flow simulations and preventing spurious vortices
This work introduces a novel adaptive central-upwind scheme designed for simulating compressible flows with discontinuities in the flow field. The proposed approach offers significant improvements in computational efficiency over the central gradient-based reconstruction approach presented in [1] (Hoffmann, Chamarthi and Frankel, JCP 2024). By leveraging a combination of conservative and characteristic variable reconstruction, the proposed approach demonstrates oscillation-free results while effectively reducing computational costs and improving the results. Furthermore, the adaptive central-upwind algorithm is generalized to be compatible not only with the gradient-based reconstruction as in [1] but with other existing methods. In this regard, with the proposed algorithm, the standard fifth/sixth-order reconstruction scheme has also been shown to outperform existing schemes with a 20-30% reduction in computational expense with improved results. Notably, the proposed approach has successfully prevented the generation of spurious vortices in the double shear layer test cases, even with linear schemes, showcasing its robustness and effectiveness.
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