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Elsevier

Large-Scale Control of Wall Turbulence

  • 1st Edition - January 1, 2027
  • Latest edition
  • Authors: Jie Yao, Xi Chen
  • Language: English

In the presence of a solid wall, the flow and thus the turbulence is directly influenced. Reduction of wall turbulence is of great significance for energy saving and environmental… Read more

Description

In the presence of a solid wall, the flow and thus the turbulence is directly influenced. Reduction of wall turbulence is of great significance for energy saving and environmental protection. Numerous drag control strategies have been proposed and explored during recent decades, the vast majority of which concentrate on near-wall coherent structures, which can result in significant drag reductions at low Reynolds numbers. However, whether these drag control methods can continue to be effective at high Reynolds numbers remains unresolved. This question is crucial because the flow physics involved in drag reduction changes at high Reynolds numbers (because the contribution of large-scale structures to the skin friction grows with the Reynolds number). Large-Scale Control of Wall Turbulence synthesizes and interprets research on large scale drag control. In particular it looks at the underlying physical mechanisms of the large-scale control, especially investigation of the coherent structures, and the statistical approach through the momentum flux as well as the energy flux.

Key features

  • Covers the latest advancements in flow control technologies, particularly large-scale control techniques
  • Comprehensive coverage: explores a wide range of flow control techniques, including active and passive methods
  • Interdisciplinary approach: takes an interdisciplinary approach that combines fluid mechanics, control theory, and computational methods
  • Demonstrates practical strategies for implementing flow control techniques in real-world scenarios

Readership

Researchers and students with an interest in fluid dynamics, turbulence, and flow control; Specifically, the book would cater for individuals actively working or conducting research in the field of drag reduction and flow control

Table of contents

1. Introduction

2. Numerical studies of large-scale control strategies

3. Experimental studies of large-scale control strategies

4. Composite controls via large-scale control

5. Theoretical works on the mechanism of drag control

6. Other aspect of large-scale drag control

7. Future research on drag control, such as large-scale machine learning based control, or combined with passive control techniques, such as riblets, rotating disks, etc.

Product details

  • Edition: 1
  • Latest edition
  • Published: January 1, 2027
  • Language: English

About the authors

JY

Jie Yao

Jie Yao obtained the B.S. from Nanjing University of Science and Technology in 2011 and an M.S. from the University of Houston in 2013 and a Ph.D. from the Texas Tech University in 2019. After that, he became a Postdoctoral Researcher at Texas Tech University in the USA. He is now a professor at Beijing Institute of Technology. Jie Yao’s expertise is in turbulence, flow control, vortex dynamics, and high-performance computing. He has published 20 peer-reviewed articles in leading journals in fluid mechanics, including the Annual Review of Fluid Mechanics, Journal of Fluid Mechanics, Physical Review Fluids, and Physics of Fluids.

Affiliations and expertise
Beijing Institute of Technology, China

XC

Xi Chen

Xi Chen obtained a B.S. and Ph.D from Peking University in 2006 and 2012, respectively. Afterwardshe worked as a Postdoctoral Researcher at Peking University, and as a research assistant professor at Texas Tech University. He is now a professor at Beijing University and Aeronautics and Astronautics (Beihang University). Xi Chen’s expertise is in turbulence theory and modelling, flow control, vortex dynamics. He has published 40 peer-reviewed articles in leading journals of fluid mechanics: including the Journal of Fluid Mechanics, Physical Review Fluids, and Physics of Fluids.

Affiliations and expertise
Beihang University, China