1999
DOI: 10.1002/(sici)1097-0363(19990930)31:2<451::aid-fld885>3.0.co;2-o
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Three-dimensional linear stability analysis of incompressible viscous flows using the finite element method

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Cited by 69 publications
(34 citation statements)
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“…The uncertainty of the critical Reynolds number was of the order of magnitude of 1%. Despite the sparseness of reliable stability data, our results were validated by comparison with neutral-stability data of Ding and Kawahara [16,17] and by critical Reynolds numbers of Kuhlmann et al [33]. Additional confidence was gained from our own experimental results [2] and from the numerical work of Spasov et al [46] and Shatrov et al [43].…”
Section: Introductionsupporting
confidence: 93%
“…The uncertainty of the critical Reynolds number was of the order of magnitude of 1%. Despite the sparseness of reliable stability data, our results were validated by comparison with neutral-stability data of Ding and Kawahara [16,17] and by critical Reynolds numbers of Kuhlmann et al [33]. Additional confidence was gained from our own experimental results [2] and from the numerical work of Spasov et al [46] and Shatrov et al [43].…”
Section: Introductionsupporting
confidence: 93%
“…The symbols represent data from: Norberg, 1994 [20] (Q), Zebib, 1987 [21] (E), Pier, [22] 2001, (×), Williamson, [23] 1989 (P), Leweke and Provansal, [24] 1995 (+), Strykowski and Sreenivasan, [25] 1990 ( * ), Coutanceau and Bouard, [26] 1977 (! ), Elsenlhor and Eckelmann, [27] 1989 ("), Hammache and Gharib, [28] 1989 (2), Jackson, [29] 1987 (1), Ding and Kawahara, [30] 1999 (F), Morzynski et al, [31] 1999 (e), Kumar and Mittal, [32] 2006 (a). The solid line in parts (b) and (d) indicates the median value (R cr ≈ 46.6) of these data.…”
Section: Discussionsupporting
confidence: 86%
“…The latter scales linearly with the Krylov subspace dimension. As experienced in previous studies [18], only eigenvalues with large modules can be obtained by a straightforward application of the algorithm. A shift-invert transformation in the Arnoldi algorithm is required to accurately capture the region of the complex plane where the unstable eigenvalues live.…”
Section: Direct Problemmentioning
confidence: 99%
“…A full LU factorization is performed for the Jacobian matrix A. This strategy, used here in a compressible finite volume context, has also been followed in Biglobal computations of incompressible flows in finite elements discretizations [18,19] and in the context of spectral methods [20,21]. The full LU decomposition consumes a large amount of RAM memory.…”
Section: Direct Problemmentioning
confidence: 99%