This textbook explains turbulent flows using an introductory but fundamental approach to teaching the core principles, striking a balance between theoretical and practical aspects of the topic without overwhelming the reader with mathematical detail. It is aimed at students in various engineering disciplines—mechanical, civil, environmental—and the geosciences. It is divided in five parts. Part 1 provides the fundamentals of turbulence, main hypotheses, and analysis tools; Part 2 illustrates various measurement techniques used to study turbulent flows; Part 3 explains the modelling and simulation frameworks to study turbulent flows; Part 4 describes brief applications of turbulence in engineering and sciences; and Part 5 presents basic statistical, mathematical, and numerical tools.
Elucidates the theory behind turbulence in a concise yet rigorous manner
Combines theoretical, computational, experimental, and applied aspects of the topic
Reinforces concepts with practice problems at the end of each chapter
Provides brief chapters on statistics, mathematics, and numerical techniques
By:
Amir A. Aliabadi Imprint: Springer Nature Switzerland AG Country of Publication: Switzerland Edition: 1st ed. 2022 Dimensions:
Height: 235mm,
Width: 155mm,
Weight: 486g ISBN:9783030954130 ISBN 10: 3030954137 Series:Mechanical Engineering Series Pages: 297 Publication Date:14 October 2023 Audience:
Professional and scholarly
,
Undergraduate
Format:Paperback Publisher's Status: Active
Introduction .- Equations of Fluid Motion .- Statistical Description of Turbulent Flows .- Mean Flow Equations .- Wall Flows .- Free Shear Flows .- Scales of Turbulent Motion .- Time and Frequency Domains .- Fundamentals of Measurements .- In-situ Techniques .- Sonic and Ultrasonic Techniques .- Electro-magnetic Techniques .- Introduction to Modeling and Simulation .- Turbulent Viscosity Models .- Large-eddy Simulation Models .- Direct Numerical Simulation .- Wall Models .- Model Evaluation .- Engineering .- Sciences .- Statistics .- Mathematics .- Numerical Methods .- Index.
Dr. Amir A. Aliabadi is an Associate Professor in Environmental Engineering, School of Engineering, University of Guelph, CANADA.