Prediction of Turbulent Flows

Hardback

Main Details

Title Prediction of Turbulent Flows
Authors and Contributors      Edited by Geoff Hewitt
Edited by Christos Vassilicos
Physical Properties
Format:Hardback
Pages:350
Dimensions(mm): Height 255,Width 180
ISBN/Barcode 9780521838993
ClassificationsDewey:532.0527
Audience
Professional & Vocational
Illustrations 2 Halftones, unspecified; 56 Line drawings, unspecified; 16 Line drawings, color

Publishing Details

Publisher Cambridge University Press
Imprint Cambridge University Press
Publication Date 8 June 2005
Publication Country United Kingdom

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 Cambridge's strong tradition in fluid dynamics.

Reviews

"The contents of this book range from a discussion of the structure and dynamics of turbulent flows to the modeling of such flows under the influence of buoyancy and stratification, in combustion systems and in boundary layers...By its breadth and combination of theory and practice, this book complements existing textbooks on fluid mechanics." Bernar J. Geurts, MATHEMATICAL REVIEWS