1997
DOI: 10.1006/jcph.1996.5571
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A Chebyshev Collocation Method for Solving Two-Phase Flow Stability Problems

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Cited by 58 publications
(56 citation statements)
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“…But the results obtained by both of these approaches are exactly the same. Boomkamp et al (1997) developed a collocation method based on Chebyshev polynomials to solve the eigenvalue problem governing the stability of parallel two-phase flow, which is similar to the methodology developed by Orszag (1971) to investigate the stability of Poiseuille's flow. In our approach, we begin by expanding the eigenfunction ϕ(z) as a truncated series of Chebyshev polynomials, T i (z) (defined on the interval [−1, 1]),…”
Section: Appendix a Numerical Methods For The Os Problemmentioning
confidence: 99%
“…But the results obtained by both of these approaches are exactly the same. Boomkamp et al (1997) developed a collocation method based on Chebyshev polynomials to solve the eigenvalue problem governing the stability of parallel two-phase flow, which is similar to the methodology developed by Orszag (1971) to investigate the stability of Poiseuille's flow. In our approach, we begin by expanding the eigenfunction ϕ(z) as a truncated series of Chebyshev polynomials, T i (z) (defined on the interval [−1, 1]),…”
Section: Appendix a Numerical Methods For The Os Problemmentioning
confidence: 99%
“…(10) and (11), only half of the channel is considered, y ∈ [1/2, 1]. This domain is decomposed into three regions, 1/2 ≤ y ≤ 1/2 + h, 1/2 + h ≤ y ≤ 1/2 + h + q and 1/2 + h + q ≤ y ≤ 1, and the eigenfunctions in each region are then expanded using Chebyshev polynomials through a spectral method [53,59,60]. The decomposition of the domain endows the edges of the mixed layer with more points than its interior, thereby enhancing the resolution of the numerical solutions where the base state concentration and its derivatives must be continuous [53].…”
Section: Linear Stability Analysismentioning
confidence: 99%
“…Modern computational facilities allow us to solve this eigenvalue problem entirely numerically for almost any prescribed primary profile u/O') and a large range of the dimensionless parameters ~, R, m, r, n, S, F and ft. Following the method described in the papers by Miesen and Boersma (1995) and Boomkamp et al (1997) we solve the problem by means of a spectral technique, based on an expansion of the functions Oj(y) in Chebyshev polynomials and on point collocation. Subsequent solution of the resulting generalized eigenvalue problem with the QZ-algorithm (Molar and Stewart 1973;NAG 1988) then provides the dispersion relation c = c(~, R, m, r, n, S, F,//), [10] and the corresponding eigenfunctions ~j(),).…”
Section: Formulation Of the Stabilio Problemmentioning
confidence: 99%