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Two-fluid model stability, simulation and chaos

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Two-fluid model stability, simulation and chaos/ by Martin Lopez de Bertodano ... [et al.].
其他作者:	Lopez de Bertodano, Martin A.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xx, 358 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Stability. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-44968-5
ISBN:	9783319449685

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

Standard No.: 10.1007/978-3-319-44968-5doiSubjects--Topical Terms:

527666
Stability.

LC Class. No.: QA871

Dewey Class. No.: 515.35

Two-fluid model stability, simulation and chaos
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245 0 0 $a Two-fluid model stability, simulation and chaos $h [electronic resource] / $c by Martin Lopez de Bertodano ... [et al.].
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300 $a xx, 358 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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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