1st Edition
Multi-Scale Shock Wave Mechanics Experimental, Computational, and AI Perspectives
Aim and Scope
Preface
Acknowledgment
About Editor
Part I: Fundamentals and Theoretical Frameworks of Shock Waves
Chapter 01: Introduction to Multi-Scale Shock Wave Mechanics
Satyvir Singh
Chapter 02: Advanced Mathematical Formulations of Shock Wave Propagation
Satyvir Singh
Chapter 03: Shock Structure in Hydrogen Gas Using a Two-Temperature Model: Influence of Bulk Viscosity
Anil Kumar, Rahul Bhattacharjee, Anirudh Singh Rana
Chapter 04: Far-Field Analysis of Weak Shock Waves in Radiative Magnetogasdynamics
Himanshoo Tiwari, Amit Tomar, Antim Chauhan
Part II: Experimental and Laser Diagnostics of Shock Waves
Chapter 05: Micro Shock Waves: Supersonic flows in micro-capillary tubes
Ulrich Teubner
Chapter 06: Shock induced boundary layer
Sidyant Kumar, Devansh Arora, Sada Nand, Sanjay Kumar
Chapter 07: Acoustic shock wave-induced phase transition in materials
Oviya Sekar, F. Irine Maria Bincy, Ikhyun Kim, S. A. Martin Britto Dhas
Part III: Computational and Numerical Modelling of Shock Waves
Chapter 08: Nonlinear Wave Interaction in a Self-Gravitating Gas
Nishi Deepa Palo, Amreeta Preetam, Charu Arora, Ashu Soni, Praveen Dwivedi
Chapter 09: Vortex Mach Number Impact on Flow Dynamics of Shock–Vortex Interaction
Satyvir Singh
Chapter 10: Role of Initial Separation Distance on Shock-Driven Tandem Heavy Cylindrical Bubbles
Satyvir Singh
Chapter 11: Influence of Magnetic Field Strength on Shock-Induced Dual-Mode Heavy Fluid Layer Dynamics
Liwen Shen, Satyvir Singh, Manuel Torrilhon
Chapter 12: Comparative Analysis of Shock Profiles Obtained Using High-Resolution Schemes in rhoCentralFOAM
T. Chourushi, Sunil Dingare, and Sudarshan B Sanap
Chapter 13: Finite-Volume Strategies for Thermochemical Nonequilibrium Modeling in High-Enthalpy Hypersonic Flows
Anu Priya, Ravi Kumar Peetala
Part IV: Artificial Intelligence and Data-Driven Methods in Shock Wave Research
Chapter 14: Shock Wave Prediction in Viscous Burgers’ Equation Using Weighted Physics-Informed Neural Networks
Satyvir Singh
Part V: Applications and Future Perspectives in Shock Wave Mechanics
Chapter 15: Shock Wave Phenomena in Hypersonic Aerospace Systems: Design Implications and Control Strategies
Muthuram A, P. Balakrishnan, Chitimada Narendra Kumar, Shabudin Bin Mat, Balaji Ganesan, Anita M
Biography
Dr. Satyvir Singh is currently a Research Associate Fellow at the Institute of Applied and Computational Mathematics, RWTH Aachen University, Germany. He earned his Ph.D. in Computational Fluid Mechanics from the School of Mechanical and Aerospace Engineering, Gyeongsang National University, South Korea. He also holds an M.Tech. in Industrial Mathematics & Scientific Computing from the Indian Institute of Technology Madras, India, and an M.Sc. in Mathematics from CCS University Meerut, India. Prior to his current position, Dr. Singh served as a Senior Research Fellow at the Research Center for Aircraft Parts Technology, Gyeongsang National University, South Korea, and as a Research Fellow at Nanyang Technological University, Singapore. He has also served as an Assistant Professor at institutions in India, teaching mathematics at undergraduate and postgraduate levels. His research interests span computational fluid dynamics, high-order numerical methods, hydrodynamic instability, gas kinetic theory, heat and mass transfer, and computational biology, reflected in over 55 peer-reviewed articles with more than 950 citations.






