Efficient h-adaptive isogeometric discontinuous Galerkin solver for turbulent flows

IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Computational Physics Pub Date : 2025-04-01 Epub Date: 2025-01-21 DOI:10.1016/j.jcp.2025.113763
D. Bulgarini, A. Ghidoni, G. Noventa, S. Rebay
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Abstract

The numerical simulation of turbulent flows is still a significant challenge for the complex interplay of scales and nonlinear dynamics that characterize these phenomena. This work presents a method for the accurate simulation of turbulent compressible flows, while preserving the accuracy of the geometric representation provided by the CAD. The proposed method combines high-order CAD-consistent meshes with adaptive refinement, enabling the use of the exact CAD geometry without approximation, as in the isogeometric analysis framework. Key elements include the use of the discontinuous Galerkin method for solving the compressible Reynolds-Averaged Navier-Stokes equations, and the integration of the NURBS representation for enhanced geometric accuracy. Local mesh refinement based on NURBS properties allows for dynamic adaptation that can capture specific flow phenomena. The accuracy of this methodology is assessed through different test cases, demonstrating the robustness and the computational efficiency for different flow regimes, from inviscid to turbulent subsonic and transonic flows.
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湍流的高效h-自适应等几何不连续Galerkin求解方法
湍流的数值模拟仍然是一个重大的挑战,因为这些现象具有复杂的尺度相互作用和非线性动力学特征。这项工作提出了一种精确模拟湍流可压缩流动的方法,同时保留了CAD提供的几何表示的准确性。该方法将高阶CAD一致性网格与自适应细化相结合,使精确的CAD几何形状无需近似即可使用,就像在等几何分析框架中一样。关键要素包括使用不连续Galerkin方法来求解可压缩的reynolds -平均Navier-Stokes方程,以及NURBS表示的集成以提高几何精度。基于NURBS属性的局部网格细化允许动态适应,可以捕获特定的流动现象。通过不同的测试案例评估了该方法的准确性,展示了从无粘流到湍流亚音速和跨音速流的不同流型的鲁棒性和计算效率。
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来源期刊
Journal of Computational Physics
Journal of Computational Physics 物理-计算机:跨学科应用
CiteScore
7.60
自引率
14.60%
发文量
763
审稿时长
5.8 months
期刊介绍: Journal of Computational Physics thoroughly treats the computational aspects of physical problems, presenting techniques for the numerical solution of mathematical equations arising in all areas of physics. The journal seeks to emphasize methods that cross disciplinary boundaries. The Journal of Computational Physics also publishes short notes of 4 pages or less (including figures, tables, and references but excluding title pages). Letters to the Editor commenting on articles already published in this Journal will also be considered. Neither notes nor letters should have an abstract.
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