Turbulence Models and their applications
Author:
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Published: 1984
Total Pages: 423
ISBN-13:
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Author:
Publisher:
Published: 1984
Total Pages: 423
ISBN-13:
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1984
Total Pages: 452
ISBN-13:
DOWNLOAD EBOOKAuthor: Brian E. Launder
Publisher:
Published: 1984
Total Pages: 423
ISBN-13:
DOWNLOAD EBOOKAuthor: Rajib Roy
Publisher:
Published: 2017
Total Pages: 119
ISBN-13: 9780355318883
DOWNLOAD EBOOKNumerical modeling of turbulent flows needs to be accurate yet fast and cost effective for practical applications. For flows with boundary layer separation the Large Eddy Simulation (LES) method provides accurate results but the computational cost increases fast with the Reynolds number due to the near wall resolution requirement. To alleviate the cost burden, a statistical (RANS) method can be incorporated in a LES method to build a hybrid model, which applies RANS in the near wall attached flow region (to reduce cost) and LES in the separated flow region (to increase accuracy). In this work, a novel second-moment closure based hybrid RANS-LES model is used to improve the overall accuracy. The new hybrid model coefficients are calibrated in a canonical attached flow and the model is then applied in several other attached and separated turbulent flow cases to evaluate the model performance.Y
Author: Konstantin Volkov
Publisher: BoD – Books on Demand
Published: 2017-07-26
Total Pages: 252
ISBN-13: 9535133497
DOWNLOAD EBOOKAccurate prediction of turbulent flows remains a challenging task despite considerable work in this area and the acceptance of CFD as a design tool. The quality of the CFD calculations of the flows in engineering applications strongly depends on the proper prediction of turbulence phenomena. Investigations of flow instability, heat transfer, skin friction, secondary flows, flow separation, and reattachment effects demand a reliable modelling and simulation of the turbulence, reliable methods, accurate programming, and robust working practices. The current scientific status of simulation of turbulent flows as well as some advances in computational techniques and practical applications of turbulence research is reviewed and considered in the book.
Author: Pierre Sagaut
Publisher: Imperial College Press
Published: 2006
Total Pages: 356
ISBN-13: 1860948979
DOWNLOAD EBOOKThis unique book gives a general unified presentation of the use of the multiscale/multiresolution approaches in the field of turbulence. The coverage ranges from statistical models developed for engineering purposes to multiresolution algorithms for the direct computation of turbulence. It provides the only available up-to-date reviews dealing with the latest and most advanced turbulence models (including LES, VLES, hybrid RANS/LES, DES) and numerical strategies. The book aims at providing the reader with a comprehensive description of modern strategies for turbulent flow simulation, ranging from turbulence modeling to the most advanced multilevel numerical methods. Sample Chapter(s). Chapter 1: A Brief Introduction to Turbulence (4,125 KB). Contents: A Brief Introduction to Turbulence; Turbulence Simulation and Scale Separation; Statistical Multiscale Modeling; Multiscale Subgrid Models: Self-Adaptivity; Structural Multiscale Subgrid Models: Small Scale Estimations; Unsteady Turbulence Simulation on Self-Adaptive Grids; Global Hybrid RANS/LES Methods; Zonal RANS/LES Methods. Readership: Researchers and engineers in academia and industry in aerospace, automotive and other aerodynamics-oriented fields; masters-level students in fluid mechanics, computational fluid dynamics and applied mathematics.
Author: Tomás Chacón Rebollo
Publisher: Springer
Published: 2014-06-17
Total Pages: 530
ISBN-13: 1493904558
DOWNLOAD EBOOKWith applications to climate, technology, and industry, the modeling and numerical simulation of turbulent flows are rich with history and modern relevance. The complexity of the problems that arise in the study of turbulence requires tools from various scientific disciplines, including mathematics, physics, engineering and computer science. Authored by two experts in the area with a long history of collaboration, this monograph provides a current, detailed look at several turbulence models from both the theoretical and numerical perspectives. The k-epsilon, large-eddy simulation and other models are rigorously derived and their performance is analyzed using benchmark simulations for real-world turbulent flows. Mathematical and Numerical Foundations of Turbulence Models and Applications is an ideal reference for students in applied mathematics and engineering, as well as researchers in mathematical and numerical fluid dynamics. It is also a valuable resource for advanced graduate students in fluid dynamics, engineers, physical oceanographers, meteorologists and climatologists.
Author:
Publisher:
Published: 2003
Total Pages: 0
ISBN-13:
DOWNLOAD EBOOKStudy of turbulence is of vital scientific, military and economic interest. Advances in several areas of external aerodynamics and internal combustor flows of interest to Air Force hinge on our ability to clearly understand and adequately predict the effects of turbulence. At the current time, however, there exists a substantial gap between our knowledge of the physics of turbulence phenomenon and the physics that is incorporated into turbulence models, especially subgrid closures. The disciplines of turbulence theory/analysis (e.g., rapid distortion theory, spectral closure models), high-order turbulence modeling (e.g., second-moment closures, structure-based models and realizability constraints) and turbulence simulation (DNS- direct numerical simulations, and LES- large eddy simulations) are evolving independently with very little cross fertilization of ideas. For example, the currently popular LES subgrid closures (e.g., Smagorinsky, dynamic Smagorinsky) are algebraic in nature; completely insensitive to extra rates of strain such as rotation, curvature, and buoyancy and, further, may not even be realizable. These major deficiencies in the LES-SGS modeling are tolerated despite the fact that, in higher order closures, these physical effects and mathematical constraints have long been represented adequately. Further, we would like to point out that the very premise of detached-eddy simulation (DES) approach - that is seen as the practical computational tool for turbulence - is erroneous. This is due to the fact that inhomogeneous spatial filtering is inevitable in this method, and yet the governing equations ignore the effects that necessarily arise with inhomogeneous filtering of the velocity field.
Author: Sharath Girimaji
Publisher:
Published: 2007
Total Pages: 48
ISBN-13:
DOWNLOAD EBOOKTurbulence subject to unsteady forcing can exhibit novel features that cannot be explained using the well-known steady-turbulence paradigm. Modeling and prediction of such statistically unsteady flows are important in many practical AFOSR applications: turbine flows, wake-flows with vortex shedding, etc. Further, many flow control strategies depend upon the knowledge of unsteady turbulence dynamics to achieve the desired objectives. However, our understanding of unsteadily-forced turbulence dynamics or our ability to predict them is inadequate.
Author: F.C.G.A. Nicolleau
Publisher: Springer Science & Business Media
Published: 2011-10-29
Total Pages: 159
ISBN-13: 940072506X
DOWNLOAD EBOOKThis book contains a collection of the main contributions from the first five workshops held by Ercoftac Special Interest Group on Synthetic Turbulence Models (SIG42. It is intended as an illustration of the sig’s activities and of the latest developments in the field. This volume investigates the use of Kinematic Simulation (KS) and other synthetic turbulence models for the particular application to environmental flows. This volume offers the best syntheses on the research status in KS, which is widely used in various domains, including Lagrangian aspects in turbulence mixing/stirring, particle dispersion/clustering, and last but not least, aeroacoustics. Flow realizations with complete spatial, and sometime spatio-temporal, dependency, are generated via superposition of random modes (mostly spatial, and sometime spatial and temporal, Fourier modes), with prescribed constraints such as: strict incompressibility (divergence-free velocity field at each point), high Reynolds energy spectrum. Recent improvements consisted in incorporating linear dynamics, for instance in rotating and/or stably-stratified flows, with possible easy generalization to MHD flows, and perhaps to plasmas. KS for channel flows have also been validated. However, the absence of "sweeping effects" in present conventional KS versions is identified as a major drawback in very different applications: inertial particle clustering as well as in aeroacoustics. Nevertheless, this issue was addressed in some reference papers, and merits to be revisited in the light of new studies in progress.