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Two-fluid model stability, simulatio...
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Lopez de Bertodano, Martin A.
Two-fluid model stability, simulation and chaos
Record Type:
Electronic resources : Monograph/item
Title/Author:
Two-fluid model stability, simulation and chaosby Martin Lopez de Bertodano ... [et al.].
other author:
Lopez de Bertodano, Martin A.
Published:
Cham :Springer International Publishing :2017.
Description:
xx, 358 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Stability.
Online resource:
http://dx.doi.org/10.1007/978-3-319-44968-5
ISBN:
9783319449685$q(electronic bk.)
Two-fluid model stability, simulation and chaos
Two-fluid model stability, simulation and chaos
[electronic resource] /by Martin Lopez de Bertodano ... [et al.]. - Cham :Springer International Publishing :2017. - xx, 358 p. :ill., digital ;24 cm.
Introduction -- Fixed-Flux Model -- Two-Fluid Model -- Fixed-Flux Model Chaos -- Fixed-Flux Model -- Drift-Flux Model -- Drift-Flux Model Non-Linear Dynamics and Chaos -- RELAP5 Two-Fluid Model -- Two-Fluid Model CFD.
This book addresses the linear and nonlinear two-phase stability of the one-dimensional Two-Fluid Model (TFM) material waves and the numerical methods used to solve it. The TFM fluid dynamic stability is a problem that remains open since its inception more than forty years ago. The difficulty is formidable because it involves the combined challenges of two-phase topological structure and turbulence, both nonlinear phenomena. The one dimensional approach permits the separation of the former from the latter. The authors first analyze the kinematic and Kelvin-Helmholtz instabilities with the simplified one-dimensional Fixed-Flux Model (FFM) They then analyze the density wave instability with the well-known Drift-Flux Model. They demonstrate that the Fixed-Flux and Drift-Flux assumptions are two complementary TFM simplifications that address two-phase local and global linear instabilities separately. Furthermore, they demonstrate with a well-posed FFM and a DFM two cases of nonlinear two-phase behavior that are chaotic and Lyapunov stable. On the practical side, they also assess the regularization of an ill-posed one-dimensional TFM industrial code. Furthermore, the one-dimensional stability analyses are applied to obtain well-posed CFD TFMs that are either stable (RANS) or Lyapunov stable (URANS), with the focus on numerical convergence.
ISBN: 9783319449685$q(electronic bk.)
Standard No.: 10.1007/978-3-319-44968-5doiSubjects--Topical Terms:
191051
Stability.
LC Class. No.: QA871
Dewey Class. No.: 515.35
Two-fluid model stability, simulation and chaos
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Introduction -- Fixed-Flux Model -- Two-Fluid Model -- Fixed-Flux Model Chaos -- Fixed-Flux Model -- Drift-Flux Model -- Drift-Flux Model Non-Linear Dynamics and Chaos -- RELAP5 Two-Fluid Model -- Two-Fluid Model CFD.
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This book addresses the linear and nonlinear two-phase stability of the one-dimensional Two-Fluid Model (TFM) material waves and the numerical methods used to solve it. The TFM fluid dynamic stability is a problem that remains open since its inception more than forty years ago. The difficulty is formidable because it involves the combined challenges of two-phase topological structure and turbulence, both nonlinear phenomena. The one dimensional approach permits the separation of the former from the latter. The authors first analyze the kinematic and Kelvin-Helmholtz instabilities with the simplified one-dimensional Fixed-Flux Model (FFM) They then analyze the density wave instability with the well-known Drift-Flux Model. They demonstrate that the Fixed-Flux and Drift-Flux assumptions are two complementary TFM simplifications that address two-phase local and global linear instabilities separately. Furthermore, they demonstrate with a well-posed FFM and a DFM two cases of nonlinear two-phase behavior that are chaotic and Lyapunov stable. On the practical side, they also assess the regularization of an ill-posed one-dimensional TFM industrial code. Furthermore, the one-dimensional stability analyses are applied to obtain well-posed CFD TFMs that are either stable (RANS) or Lyapunov stable (URANS), with the focus on numerical convergence.
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Engineering (Springer-11647)
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http://dx.doi.org/10.1007/978-3-319-44968-5
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