{"title":"将适当的正交分解应用于各种几何形状周围的流场和降阶建模","authors":"","doi":"10.1016/j.cma.2024.117340","DOIUrl":null,"url":null,"abstract":"<div><p>This study is focused on a reduced-order model (ROM) based on proper orthogonal decomposition (POD) for unsteady flow around a stationary object, which allows prediction with different object geometry as a parameter. The conventional POD method is applicable only to data with the same computational grid for all snapshots. This study proposed a novel POD methodology that performs on flow snapshots, including some time-series data of flow fields around objects of different shapes and numerically computed by different computational grids. The concept of the proposed POD involved mapping the flow fields computed on different grids in computational space. Consequently, the optimal POD basis for minimizing reconstruction errors in physical space was obtained in the computational space. The proposed POD was applied to the flow around ellipses and airfoils generated via conformal mapping to a cylinder. The ROM formulated using the proposed POD bases reconstructed the flow fields around the ellipses with different aspect ratios and airfoils with varying shapes. Using the modes obtained by the proposed POD, the ROM was demonstrated to stably predict the time evolution of the flow around objects, which is not included in the snapshots. In the ROM, the difference between the frequency of the flow field in the POD snapshot and that of the reconstructed flow field resulted in a phase error owing to the time evolution. The mean squared error between the flow fields obtained via the ROM and the directly solved Navier–Stokes equations was under <span><math><mrow><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mo>−</mo><mn>7</mn></mrow></msup></mrow></math></span> when the reconstructed flow and the flow included in the snapshot had the same frequency as that of Kármán vorticities behind the objects. Based on these observations, the proposed POD is suitable for constructing an ROM to reconstruct the flow around various geometries.</p></div>","PeriodicalId":55222,"journal":{"name":"Computer Methods in Applied Mechanics and Engineering","volume":null,"pages":null},"PeriodicalIF":6.9000,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0045782524005954/pdfft?md5=215bfbc2d1e95400ccfe282c76776c86&pid=1-s2.0-S0045782524005954-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Application of proper orthogonal decomposition to flow fields around various geometries and reduced-order modeling\",\"authors\":\"\",\"doi\":\"10.1016/j.cma.2024.117340\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study is focused on a reduced-order model (ROM) based on proper orthogonal decomposition (POD) for unsteady flow around a stationary object, which allows prediction with different object geometry as a parameter. The conventional POD method is applicable only to data with the same computational grid for all snapshots. This study proposed a novel POD methodology that performs on flow snapshots, including some time-series data of flow fields around objects of different shapes and numerically computed by different computational grids. The concept of the proposed POD involved mapping the flow fields computed on different grids in computational space. Consequently, the optimal POD basis for minimizing reconstruction errors in physical space was obtained in the computational space. The proposed POD was applied to the flow around ellipses and airfoils generated via conformal mapping to a cylinder. The ROM formulated using the proposed POD bases reconstructed the flow fields around the ellipses with different aspect ratios and airfoils with varying shapes. Using the modes obtained by the proposed POD, the ROM was demonstrated to stably predict the time evolution of the flow around objects, which is not included in the snapshots. In the ROM, the difference between the frequency of the flow field in the POD snapshot and that of the reconstructed flow field resulted in a phase error owing to the time evolution. The mean squared error between the flow fields obtained via the ROM and the directly solved Navier–Stokes equations was under <span><math><mrow><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mo>−</mo><mn>7</mn></mrow></msup></mrow></math></span> when the reconstructed flow and the flow included in the snapshot had the same frequency as that of Kármán vorticities behind the objects. 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引用次数: 0
摘要
本研究的重点是基于适当正交分解(POD)的静止物体周围非稳态流的降阶模型(ROM),该模型允许以不同物体的几何形状为参数进行预测。传统的 POD 方法仅适用于所有快照的计算网格相同的数据。本研究提出了一种新的 POD 方法,该方法适用于流动快照,包括不同形状物体周围流场的一些时间序列数据,并通过不同的计算网格进行数值计算。所提议的 POD 概念涉及在计算空间中映射在不同网格上计算的流场。因此,在计算空间中获得了最小化物理空间重构误差的最佳 POD 基础。所提出的 POD 被应用于椭圆和通过共形映射到圆柱体生成的翼面周围的流动。使用所提出的 POD 基数制定的 ROM 重建了不同长宽比的椭圆和不同形状的翼面周围的流场。利用所提出的 POD 所获得的模式,证明了 ROM 可以稳定地预测物体周围流动的时间演变,而这并不包括在快照中。在 ROM 中,POD 快照中的流场频率与重建流场频率之间的差异会因时间演变而产生相位误差。当重建流场和快照中的流场与物体后方的卡尔曼涡流频率相同时,通过 ROM 获得的流场与直接求解的纳维-斯托克斯方程之间的均方误差小于 10-7。基于这些观察结果,所提出的 POD 适合于构建 ROM 来重建各种几何形状周围的流动。
Application of proper orthogonal decomposition to flow fields around various geometries and reduced-order modeling
This study is focused on a reduced-order model (ROM) based on proper orthogonal decomposition (POD) for unsteady flow around a stationary object, which allows prediction with different object geometry as a parameter. The conventional POD method is applicable only to data with the same computational grid for all snapshots. This study proposed a novel POD methodology that performs on flow snapshots, including some time-series data of flow fields around objects of different shapes and numerically computed by different computational grids. The concept of the proposed POD involved mapping the flow fields computed on different grids in computational space. Consequently, the optimal POD basis for minimizing reconstruction errors in physical space was obtained in the computational space. The proposed POD was applied to the flow around ellipses and airfoils generated via conformal mapping to a cylinder. The ROM formulated using the proposed POD bases reconstructed the flow fields around the ellipses with different aspect ratios and airfoils with varying shapes. Using the modes obtained by the proposed POD, the ROM was demonstrated to stably predict the time evolution of the flow around objects, which is not included in the snapshots. In the ROM, the difference between the frequency of the flow field in the POD snapshot and that of the reconstructed flow field resulted in a phase error owing to the time evolution. The mean squared error between the flow fields obtained via the ROM and the directly solved Navier–Stokes equations was under when the reconstructed flow and the flow included in the snapshot had the same frequency as that of Kármán vorticities behind the objects. Based on these observations, the proposed POD is suitable for constructing an ROM to reconstruct the flow around various geometries.
期刊介绍:
Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.