Mechanics of Flow-Induced Vibration Physical Modeling and Control Strategies

This book discusses various passive and active techniques for controlling unsteady flow dynamics and associated coupled mechanics of fluid-structure interaction. Coupled multiphysics and multidomain simulations are emerging and challenging research areas, which have received significant attention du...

Full description

Bibliographic Details
Main Authors: Jaiman, Rajeev, Li, Guojun (Author), Chizfahm, Amir (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2023, 2023
Edition:1st ed. 2023
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 03834nmm a2200433 u 4500
001 EB002167849
003 EBX01000000000000001305181
005 00000000000000.0
007 cr|||||||||||||||||||||
008 230704 ||| eng
020 |a 9789811985782 
100 1 |a Jaiman, Rajeev 
245 0 0 |a Mechanics of Flow-Induced Vibration  |h Elektronische Ressource  |b Physical Modeling and Control Strategies  |c by Rajeev Jaiman, Guojun Li, Amir Chizfahm 
250 |a 1st ed. 2023 
260 |a Singapore  |b Springer Nature Singapore  |c 2023, 2023 
300 |a XX, 1021 p. 698 illus., 491 illus. in color  |b online resource 
505 0 |a Introduction -- Part 1: Generalized variational formulation -- 1. Mathematical Framework -- 2. Body-fitted Eulerian-Lagrangian methods -- 3. Non-body-fitted embedded methods -- 4. Applications and Examples -- Part 2: Model reduction and FSI control -- 1. Model reduction techniques -- 2. Passive and active control for FSI -- Blowing-suction for VIV. 
653 |a Mechanics, Applied 
653 |a Engineering Fluid Dynamics 
653 |a Fluid mechanics 
653 |a Classical and Continuum Physics 
653 |a Engineering mathematics 
653 |a Numerical Analysis 
653 |a Solids 
653 |a Solid Mechanics 
653 |a Mathematical physics 
653 |a Physics 
653 |a Numerical analysis 
653 |a Engineering / Data processing 
653 |a Theoretical, Mathematical and Computational Physics 
653 |a Mathematical and Computational Engineering Applications 
700 1 |a Li, Guojun  |e [author] 
700 1 |a Chizfahm, Amir  |e [author] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
028 5 0 |a 10.1007/978-981-19-8578-2 
856 4 0 |u https://doi.org/10.1007/978-981-19-8578-2?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 620.1064 
520 |a This book discusses various passive and active techniques for controlling unsteady flow dynamics and associated coupled mechanics of fluid-structure interaction. Coupled multiphysics and multidomain simulations are emerging and challenging research areas, which have received significant attention during the past decade. One of the most common multiphysics and multidomain problems is fluid-structure interaction (FSI), i.e., the study of coupled physical systems involving fluid and a structure that have a mechanical influence on each other. Regardless of the application area, the investigation toward modeling of fluid-structure interaction and the underlying mechanisms in dealing with coupled fluid-structure instability with real-world applications remains a challenge to scientists and engineers. This book is designed for students and researchers who seek knowledge of computational modeling and control strategies for fluid-structure interaction. Specifically, this book provides a comprehensive review of the underlying unsteady physics and coupled mechanical aspects of the fluid-structure interaction of freely vibrating bluff bodies, the self-induced flapping of thin flexible structures, and aeroelasticity of shell structures. Understanding flow-induced loads and vibrations can lead to safer and cost-effective structures, especially for light and high-aspect ratio structures with increased flexibility and harsh environmental conditions. Using the body-fitted and moving mesh formulations, the physical insights associated with structure-to-fluid mass ratios, Reynolds number, nonlinear structural deformation, proximity interference, near-wall contacts, free-surface, and other interacting physical fields are covered in this book. In conjunction with the control techniques, data-driven model reduction approaches based on subspace projection and deep neural calculus are covered for low-dimensional modeling of unsteady fluid-structure interaction