低阶矩阵流形上湍流反应流的降阶建模

IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Computational Physics Pub Date : 2024-10-30 DOI:10.1016/j.jcp.2024.113549
Aidyn Aitzhan , Arash G. Nouri , Peyman Givi , Hessam Babaee
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引用次数: 0

摘要

针对湍流反应流中标量传输的降阶建模(ROM),开发了一种新的低阶近似方法,称为时变主成分分析(t-PCA)。在 t-PCA 中,组成矩阵的演变受限于低秩矩阵流形,与标准 PCA 相似。具体来说,t-PCA 通过两个代表空间子空间和组成子空间的随时间变化的薄矩阵相乘来近似组成矩阵。这些子空间的演化方程是通过将组成传输方程投影到低秩矩阵流形的切线空间上得到的。虽然 PCA 和 t-PCA 中空间子空间的演化方程相似,但获得组成子空间的方法不同:(i) 在 t-PCA 中,组成子空间是随时间变化的,而在 PCA 中,组成子空间是静态的。(ii) t-PCA 不需要任何先验数据,可以推导出组成子空间的演化方程。在 PCA 中,组成子空间是从数据中获得的。t-PCA 可被视为一种即时低阶近似方法,能瞬时适应流量的变化。结果表明,低秩 t-PCA 近似的残差水平低于通过 PCA 得到的残差水平。为了对 ROM 进行演示和比较评估,我们对时间演化射流中的非预混合 CO/H2 火焰进行了模拟。根据之前提出的该火焰的燃烧动力学机制,考虑了两种情况:(i) 二维火焰的 GRI-Mech 3.0 模型,涉及 53 个物种;(ii) 三维湍流火焰的骨架合成气模型,涉及 11 个物种。通过与同一火焰的全等级直接数值模拟(DNS)生成的数据以及 DNS 的 PCA 还原数据进行后验比较,对结果进行了评估。结果表明,t-PCA 能够很好地预测热化学场的各种特征。
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Reduced order modeling of turbulent reacting flows on low-rank matrix manifolds
A new low-rank approximation, referred to as time-dependent principal component analysis (t-PCA), is developed for reduced-order modeling (ROM) of scalar transport in turbulent reactive flows. In t-PCA, the evolution of the composition matrix is constrained to a low-rank matrix manifold, similar to that in standard PCA. Specifically, the t-PCA approximates the composition matrix through the multiplication of two thin, time-dependent matrices that represent spatial and composition subspaces. The evolution equations for these subspaces are derived by projecting the composition transport equation onto the tangent space of the low-rank matrix manifold. While the evolution equations for the spatial subspace in both PCA and t-PCA are similar, there are differences in how the composition subspace is obtained: (i) In t-PCA, the composition subspace is time-dependent, whereas in PCA, it is static. (ii) The t-PCA does not require any prior data, and an evolution equation for the composition subspace is derived. In PCA, the composition subspace is obtained from data. The t-PCA can be regarded as an on-the-fly low-rank approximation that can adapt to changes in the flow instantaneously. It is shown that the low-rank t-PCA approximations achieve residual levels lower than those obtained via PCA. For demonstrations and a comparative assessment of the ROMs, simulations are conducted of a non-premixed CO/H2 flame in a temporally evolving jet. Two cases are considered, based on the mechanisms previously suggested for combustion kinetics of this flame: (i) the GRI-Mech 3.0 model involving 53 species for a two-dimensional flame, (ii) the skeletal syngas model involving 11 species for a three-dimensional turbulent flame. The results are appraised via a posteriori comparisons against data generated via full-rank direct numerical simulation (DNS) of the same flame, and also with the PCA-reduced data from the DNS. It is shown that t-PCA yields excellent predictions of various features of the thermo-chemistry field.
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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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