From Classical Models to Machine Learning Applications
Buch, Englisch, Format (B × H): 155 mm x 235 mm
ISBN: 978-3-032-42801-1
Verlag: Springer
This book charts a path for next-generation high-speed flow physics and AI-enhanced computational science. It offers a forward-looking exploration of shock wave phenomena, combining rigorous theory, high-fidelity computation, and modern artificial intelligence. Across five parts, it begins with the mathematical foundations of shock mechanics, including continuum and non-equilibrium formulations and characteristic shock dynamics in multiphase flows such as rotational dusty gas. It presents advanced computational methods: high-order WENO schemes, discontinuous Galerkin methods, moment-based DSMC, and the Unified Gas-Kinetic Scheme as well as shock–interface interactions, shock–vortex dynamics, and instability development. It also shows how data-driven modeling and physics-informed neural networks improve predictive accuracy, with applications to curved converging channels and Fanno flow. The book is written for researchers, graduate students, and industry professionals in aerospace engineering, CFD, applied mathematics, and gas dynamics.
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Weitere Infos & Material
Introduction to Shock Wave Dynamics.- Mathematical Foundations of Shock Wave Propagation.- Characteristic Shock Dynamics and Singular Surface Interaction in Rotational Dusty Gas Flow.- Multi Scale Simulation of Shock Aerospike Flow Interactions Using the Regularized 13 Moment Equations.- High Order WENO Type Schemes for Compressible Shock Dynamics.




