TY - BOOK AU - Bertodano,Martín López de AU - Fullmer,William AU - Clausse,Alejandro AU - Ransom,Victor H. ED - SpringerLink (Online service) TI - Two-Fluid Model Stability, Simulation and Chaos SN - 9783319449685 AV - TK9001-9401 U1 - 333.7924 23 PY - 2017/// CY - Cham PB - Springer International Publishing, Imprint: Springer KW - Nuclear energy KW - Fluid mechanics KW - Statistical physics KW - Thermodynamics KW - Heat engineering KW - Heat transfer KW - Mass transfer KW - Chemical engineering KW - Nuclear Energy KW - Engineering Fluid Dynamics KW - Applications of Nonlinear Dynamics and Chaos Theory KW - Engineering Thermodynamics, Heat and Mass Transfer KW - Industrial Chemistry/Chemical Engineering N1 - 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; Available to subscribing member institutions only. Доступно лише організаціям членам підписки N2 - 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 UR - https://doi.org/10.1007/978-3-319-44968-5 ER -