Statistical Theory and Modeling for Turbulent Flows

Fully updated to include computational modelling
Statistical Theory and Modeling for Turbulent Flows offers a thorough grounding in the subject of turbulence that is unavailable elsewhere in a single text, developing both the physical insight and the mathematical framework needed to express the theory. This solid foundation will enable the student to become a knowledgeable developer of predictive tools; it also represents an invaluable reference for practising engineers and scientists in computational and experimental fluid dynamics who have practical experience but 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 30% new or heavily revised material, including a new fourth section on DNS (direct numerical simulation), LES (large eddy simulation) and DES (detached eddy simulation) addressing some of the key issues, covering pertinent numerical concepts and providing sufficient technical content for the reader to acquire a reasonable depth of knowledgeIncludes new material on the role of commercial CFD software, as well as to open source and research codes.Applicable to students and practitioners in aeronautical and mechanical engineering, applied mathematics and the physical sciences