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Statistical Prediction of Laminar-Turbulent Transition

Statistical Prediction of Laminar-Turbulent Transition PDF Author: Robert Rubinstein
Publisher:
ISBN:
Category :
Languages : en
Pages : 42

Book Description
Stochastic versions of stability equations are considered as a means to develop integrated models of transition and turbulence. Two types of stochastic models are considered: probability density function evolution equations for stability mode amplitudes, and Langevin models based on representative stability theories including the resonant triad model and the parabolized stability equations. The first type of model can describe the effect of initial phase differences among disturbance modes on transition location. The second type of model describes the growth of random disturbances as transition proceeds and provides a natural framework in which to couple transition and turbulence models. Coupling of parabolized stability equations with either subgrid stress models or with conventional turbulence models is also discussed as an alternative route to achieve the goal of integrated turbulence and transition modeling.

Statistical Prediction of Laminar-Turbulent Transition

Statistical Prediction of Laminar-Turbulent Transition PDF Author: Robert Rubinstein
Publisher:
ISBN:
Category :
Languages : en
Pages : 42

Book Description
Stochastic versions of stability equations are considered as a means to develop integrated models of transition and turbulence. Two types of stochastic models are considered: probability density function evolution equations for stability mode amplitudes, and Langevin models based on representative stability theories including the resonant triad model and the parabolized stability equations. The first type of model can describe the effect of initial phase differences among disturbance modes on transition location. The second type of model describes the growth of random disturbances as transition proceeds and provides a natural framework in which to couple transition and turbulence models. Coupling of parabolized stability equations with either subgrid stress models or with conventional turbulence models is also discussed as an alternative route to achieve the goal of integrated turbulence and transition modeling.

Statistical Theory and Modeling for Turbulent Flows

Statistical Theory and Modeling for Turbulent Flows PDF Author: P. A. Durbin
Publisher: John Wiley & Sons
ISBN: 1119957524
Category : Science
Languages : en
Pages : 347

Book Description
Providing a comprehensive grounding in the subject of turbulence, Statistical Theory and Modeling for Turbulent Flows develops both the physical insight and the mathematical framework needed to understand turbulent flow. Its scope enables the reader to become a knowledgeable user of turbulence models; it develops analytical tools for developers of predictive tools. Thoroughly revised and updated, this second edition includes a new fourth section covering DNS (direct numerical simulation), LES (large eddy simulation), DES (detached eddy simulation) and numerical aspects of eddy resolving simulation. In addition to its role as a guide for students, Statistical Theory and Modeling for Turbulent Flows also is a valuable reference for practicing engineers and scientists in computational and experimental fluid dynamics, who would like to broaden their understanding of fundamental issues in turbulence and how they relate to turbulence model implementation. Provides an excellent foundation to the fundamental theoretical concepts in turbulence. Features new and heavily revised material, including an entire new section on eddy resolving simulation. Includes new material on modeling laminar to turbulent transition. Written for students and practitioners in aeronautical and mechanical engineering, applied mathematics and the physical sciences. Accompanied by a website housing solutions to the problems within the book.

Recent Advances in Theoretical Methods for Laminar-turbulent Transition Prediction

Recent Advances in Theoretical Methods for Laminar-turbulent Transition Prediction PDF Author: D. Arnal
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


IUTAM Laminar-Turbulent Transition

IUTAM Laminar-Turbulent Transition PDF Author: Spencer Sherwin
Publisher: Springer Nature
ISBN: 3030679020
Category : Computers
Languages : en
Pages : 809

Book Description
This volume comprises the carefully revised papers of the 9th IUTAM Symposium on Laminar-Turbulent Transition, held at the Imperial College, London, UK, in September 2019. The papers focus on the leading research in understanding transition to turbulence, which is a challenging topic of fluid mechanics and arises in many modern technologies as well as in nature. The proceedings are of interest for researchers in fluid mechanics and industry who have to handle these types of problems, such as in the aeronautical sector.

Prediction of Turbulent Flows

Prediction of Turbulent Flows PDF Author: Geoff Hewitt
Publisher: Cambridge University Press
ISBN: 9780521838993
Category : Mathematics
Languages : en
Pages : 366

Book Description
The prediction of turbulent flows is of paramount importance in the development of complex engineering systems involving flow, heat and mass transfer, and chemical reactions. Arising from a programme held at the Isaac Newton Institute in Cambridge, this volume reviews the current situation regarding the prediction of such flows through the use of modern computational fluid dynamics techniques, and attempts to address the inherent problem of modelling turbulence. In particular, the current physical understanding of such flows is summarised and the resulting implications for simulation discussed. The volume continues by surveying current approximation methods whilst discussing their applicability to industrial problems. This major work concludes by providing a specific set of guidelines for selecting the most appropriate model for a given problem. Unique in its breadth and critical approach, this book will be of immense value to experienced practitioners and researchers, continuing the UK's strong tradition in fluid dynamics.

Numerical Simulation of Unsteady Flows and Transition to Turbulence

Numerical Simulation of Unsteady Flows and Transition to Turbulence PDF Author: O. Pironneau
Publisher: Cambridge University Press
ISBN: 9780521416184
Category : Mathematics
Languages : en
Pages : 536

Book Description
The workshop concentrated on the following turbulence test cases: T1 Boundary layer in an S-shaped duct; T2 Periodic array of cylinders in a channel; T3 Transition in a boundary layer under the influence of free-stream turbulence; T4 & T5: Axisymmetric confined jet flows.

Statistical Theories and Computational Approaches to Turbulence

Statistical Theories and Computational Approaches to Turbulence PDF Author: Y. Kaneda
Publisher: Springer Science & Business Media
ISBN: 4431670025
Category : Technology & Engineering
Languages : en
Pages : 409

Book Description
This volume contains the papers presented at the workshop on Statistical The ories and Computational Approaches to Turbulence: Modern Perspectives and Applications to Global-Scale Flows, held October 10-13, 2001, at Nagoya Uni versity, Nagoya, Japan. Because of recent developments in computational capabilities, the compu tational approach is showing the potential to resolve a much wider range of length and time scales in turbulent physical systems. Nevertheless, even with the largest supercomputers of the foreseeable future, development of adequate modeling techniques for at least some scales of motion will be necessary for practical computations of important problems such as weather forecasting and the prediction and control of global pollution. The more powerful the available machines become, the more demand there will be for precise prediction of the systems. This means that more precise and reliable knowledge of the underlying dynamics will become important, and that more efficient and precise numerical methods best adapted to the new generation of computers will be necessary. The understanding of the nature of unresolved scales then will playa key role in the modeling of turbulent motion. The challenge to turbulence theory here is to elucidate the physics or dynamics of those scales, in particular their sta tistical aspects, and thereby develop models on sound bases to reduce modeling ambiguity. The challenge to the computational method is to develop efficient algorithms suitable for the problems, the machines, and the developed models.

The Prediction of Transition from Laminar to Turbulent Flow in Boundary Layers on Bodies of Revolution

The Prediction of Transition from Laminar to Turbulent Flow in Boundary Layers on Bodies of Revolution PDF Author: Paul S. Granville
Publisher:
ISBN:
Category : Turbulent boundary layer
Languages : en
Pages : 34

Book Description
Existing methods for predicting transition from laminar to turbulent flow in boundary layers on smooth bodies of revolution immersed in axisymmetric flows with very low background turbulence are examined critically. Several are compared to available experimental results. A new correlation is then proposed which incorporates not only the usual effect of pressure gradients but also the effect of axisymmetric spreading of the boundary layer on the location of transition. (Author).

The Statistical Dynamics of Turbulence

The Statistical Dynamics of Turbulence PDF Author: Jovan Jovanovic
Publisher: Springer Science & Business Media
ISBN: 3662104113
Category : Technology & Engineering
Languages : en
Pages : 145

Book Description
This short but complicated book is very demanding of any reader. The scope and style employed preserve the nature of its subject: the turbulence phe nomena in gas and liquid flows which are believed to occur at sufficiently high Reynolds numbers. Since at first glance the field of interest is chaotic, time-dependent and three-dimensional, spread over a wide range of scales, sta tistical treatment is convenient rather than a description of fine details which are not of importance in the first place. When coupled to the basic conserva tion laws of fluid flow, such treatment, however, leads to an unclosed system of equations: a consequence termed, in the scientific community, the closure problem. This is the central and still unresolved issue of turbulence which emphasizes its chief peculiarity: our inability to do reliable predictions even on the global flow behavior. The book attempts to cope with this difficult task by introducing promising mathematical tools which permit an insight into the basic mechanisms involved. The prime objective is to shed enough light, but not necessarily the entire truth, on the turbulence closure problem. For many applications it is sufficient to know the direction in which to go and what to do in order to arrive at a fast and practical solution at minimum cost. The book is not written for easy and attractive reading.

Statistical Theory and Modeling for Turbulent Flows

Statistical Theory and Modeling for Turbulent Flows PDF Author: P. A. Durbin
Publisher: Wiley-Blackwell
ISBN:
Category : Mathematics
Languages : en
Pages : 312

Book Description
Most natural and industrial flows are turbulent. The atmosphere and oceans, automobile and aircraft engines, all provide examples of this ubiquitous phenomenon. In recent years, turbulence has become a very lively area of scientific research and application, and this work offers a grounding in the subject of turbulence, developing both the physical insight and the mathematical framework needed to express the theory. Providing a solid foundation in the key topics in turbulence, this valuable reference resource enables the reader to become a knowledgeable developer of predictive tools. This central and broad ranging topic would be of interest to graduate students in a broad range of subjects, including aeronautical and mechanical engineering, applied mathematics and the physical sciences. The accompanying solutions manual to the text also makes this a valuable teaching tool for lecturers and for practising engineers and scientists in computational and experimental and experimental fluid dynamics.