Year: 2021
Author: Shengqi Zhang, Zhenhua Xia, Shiyi Chen
Communications in Computational Physics, Vol. 29 (2021), Iss. 1 : pp. 128–147
Abstract
Global linear instability analysis is a powerful tool for the complex flow diagnosis. However, the methods used in the past would generally suffer from some disadvantages, either the excessive computational resources for the low-order methods or the tedious mathematical derivations for the high-order methods. The present work proposed a CFD-aided Galerkin methodology which combines the merits from both the low-order and high-order methods, where the expansion on proper basis functions is preserved to ensure a small matrix size, while the differentials, incompressibility constraints and boundary conditions are realized by applying the low-order linearized Navier-Stokes equation solvers on the basis functions on a fine grid. Several test cases have shown that the new method can get satisfactory results for one-dimensional, two-dimensional and three-dimensional flow problems and also for the problems with complex geometries and boundary conditions.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.4208/cicp.OA-2020-0041
Communications in Computational Physics, Vol. 29 (2021), Iss. 1 : pp. 128–147
Published online: 2021-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 20
Keywords: Global linear instability spatial discretization Galerkin method.
Author Details
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https://doi.org/10.2298/TSCI2303039W [Citations: 0]