Overview
- Expands the application scope of Liutex in hydrodynamics and aerodynamics
- Reveals turbulence mechanism with Liutex vector
- Presents new understanding of fluid mechanics based on the Liutex vortex identification method
Part of the book series: Springer Proceedings in Physics (SPPHY, volume 288)
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Table of contents (27 papers)
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Front Matter
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Theoretical Foundation and Applications for Turbulence and Transition Research
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Front Matter
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Liutex and Third Generation of Vortex Identification Methods in Engineering Applications
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Front Matter
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Keywords
About this book
Editors and Affiliations
About the editors
Dr. Yiqian Wang is currently an associate professor at Soochow University, Suzhou, China. He obtained his Ph.D. from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2016. He did research at the University of Texas at Arlington as an visiting student under the supervision of Prof. Chaoqun Liu during 2014~2015. After graduation, he became a postdoctoral researcher at Tsinghua University for two years until 2019 when he joined Soochow University. He is one of the main contributors to the developments of the third generation of vortex identification methods, especially the Liutex-based system and the Omega methods. As the coeditor, he and Prof. Chaoqun Liu have published a proceeding book titled "Liutex and Third Generation of Vortex Definition and Identification, An Invited Workshop from Chaos 2020" with Springer. His research focuses on vortex identification, turbulence and numerical methods.
Yisheng Gao
Dr. Yisheng Gao is currently a lecturer at Nanjing University of Aeronautics and Astronautics University, Nanjing, China. He received his Bachelor of Engineering degree in Aircraft Design and Engineering (2007), Master of Engineering degree in Fluid Mechanics (2009) and Ph. D. degree in Fluid Mechanics (2016) from Nanjing University of Aeronautics and Astronautics University, China. He was a postdoctoral fellow at the University of Texas at Arlington, Texas, USA in 2017-2019. He has published more than 20 journal and conference papers and has been one of the main contributors to the developments of the third generation of vortex identification methods. His research is concerned with computational fluid dynamics, including direct numerical simulation and discrete adjoint methods.
Chaoqun Liu
Dr. Chaoqun Liu received both BS (1968) and MS (1981) from Tsinghua University, Beijing, China and PhD (1989) from University of Colorado at Denver, USA. He is currently the Tenured and Distinguished Professor and the Director of Center for Numerical Simulation and Modeling at University of Texas at Arlington, Arlington, Texas, USA. He has worked on high order direct numerical simulation (DNS) and large eddy simulation (LES) for flow transition and turbulence for 32 years since 1990. As PI, he has been awarded by NASA, US Air Force and US Navy with 50 federal research grants of over 5.7 × 106 US dollars in the United States. He has published 14 professional books, 140 journal papers and 158 conference papers. He is the founder and main contributor of Liutex and the third generation of vortex definition and identification methods including the Omega, Liutex/Rortex, Modified Liutex-Omega, Liutex-Core-Line methods, Objective Liutex, RS vorticity decomposition and UTA R-NR velocity gradient tensor decomposition. He is also the founder of Liutex based new fluid kinematics.
Bibliographic Information
Book Title: Liutex and Third Generation of Vortex Identification
Book Subtitle: Workshop from Aerospace and Aeronautics World Forum 2021
Editors: Yiqian Wang, Yisheng Gao, Chaoqun Liu
Series Title: Springer Proceedings in Physics
DOI: https://doi.org/10.1007/978-981-19-8955-1
Publisher: Springer Singapore
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-19-8954-4Published: 22 March 2023
Softcover ISBN: 978-981-19-8957-5Published: 23 March 2024
eBook ISBN: 978-981-19-8955-1Published: 21 March 2023
Series ISSN: 0930-8989
Series E-ISSN: 1867-4941
Edition Number: 1
Number of Pages: XXXII, 403
Number of Illustrations: 21 b/w illustrations, 232 illustrations in colour
Topics: Classical and Continuum Physics, Engineering Fluid Dynamics, Aerospace Technology and Astronautics, Computational Intelligence