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Multi-Scale Shock Wave Mechanics by Satyvir Singh
Multi-Scale Shock Wave Mechanics: Experimental, Computational, and AI Perspectives offers a comprehensive exploration of shock wave phenomena across multiple scales by integrating fundamental theory, high-fidelity computational modeling, advanced experimental diagnostics, and artificial intelligence techniques. This volume bridges classical shock wave physics with data-driven methodologies, providing a unified framework for understanding and predicting complex shock-driven processes in contemporary science and engineering.
Structured into five cohesive parts, the book establishes theoretical and mathematical foundations, advances to experimental investigations with modern diagnostic techniques, and focuses on computational modeling including high-resolution simulations and instability analysis. A dedicated section explores AI's transformative role, demonstrating how machine learning and physics-informed neural networks enhance predictive accuracy and real-time analysis. The final part addresses practical applications in hypersonic aerospace systems. Combining rigorous formulations, computational tools, and AI innovations, this book provides insights into multi-scale shock dynamics, turbulence–shock interactions, and high-speed flow phenomena.
This volume serves as an essential resource for researchers, academicians, and industry professionals in aerospace engineering, computational fluid dynamics, applied mathematics, and plasma physics. It consolidates current advances and offers a visionary outlook on future research directions in shock wave physics and AI-enhanced predictive modeling.
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Linear Transformation
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Lean Manufacturing and Service
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Statistical Modeling and Applications on Real-Time Problems
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Fuzzy Theory Applications in Engineering
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Dynamic Characteristics of Layered Structures
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Multi-Attribute Decision-Making
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Strategic Fuzzy Extensions and Decision-making Techniques
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Operational Excellence for Sustainability and Digital Transformation
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Total Quality Management (TQM)
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Advanced Manufacturing Processes
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Matrix and Determinant
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Machine Learning for Sustainable Manufacturing in Industry 4.0
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Market Assessment with OR Applications
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Partial Differential Equations
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Mathematical Modeling and Computation of Real-Time Problems
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Advances in Management Research
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Circular Economy for the Management of Operations
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Non-Linear Programming
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Applied Soft Computing and Embedded System Applications in Solar Energy
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Modeling and Applications in Operations Research
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Mathematics in Engineering Sciences
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Advances in Sustainable Machining and Manufacturing Processes
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Additive Manufacturing
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Advanced Materials for Biomechanical Applications
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Biowaste and Biomass in Biofuel Applications
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Biodegradable Composites for Packaging Applications
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Computing and Simulation for Engineers
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Applied Mathematical Modeling and Analysis in Renewable Energy
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Differential Equations in Engineering
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Sustainability in Industry 4.0
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Recent Advancements in Graph Theory
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Recent Advances in Time Series Forecasting
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Sustainable Procurement in Supply Chain Operations
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Mathematics Applied to Engineering and Management
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.
| SKU | Unavailable |
| ISBN 13 | 9781041109082 |
| Title | Multi-Scale Shock Wave Mechanics |
| Author | Satyvir Singh |
| Series | Mathematical Engineering Manufacturing And Management Sciences |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Taylor & Francis Ltd |
| Year published | 2026-11-30 |
| Number of pages | 344 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |


































