This book is a collection of peer-reviewed best selected research papers presented at 22nd International Conference on Computational Mechanics and Modern Applied Software Systems (CMMASS 2021), held at the Alushta Health and Educational Center, The Republic of Crimea, during 4–13 September 2021. The proceedings is dedicated to solving the real-world problems of applied mechanics using smart computational technology. Physical and mathematical models, numerical methods, computational algorithms and software complexes are discussed, which allow to carry out high-precision mathematical modelling in fluid, gas and plasma mechanics, in general mechanics, deformable solid mechanics, in strength, destruction and safety of structures, etc. Smart technologies and software systems that provide effective solutions to the problems at various multi scale-levels are considered. Special attention is paid to the training of highly qualified specialists for the aviation and space industry.
Tabella dei contenuti
Chapter 1. Advances in Computational Study of Dynamic Systems.- Part I: COMPUTATIONAL FLUID DYNAMICS.- Chapter 2. Mathematical Modeling of the Problem of Magneto-aero-elastic Stability of Rectangular Plate.- Chapter 3. Calculation of Heat Transfer at the Front of an Aircraft during Hypersonic Flight.- Chapter 4. Some Features of DG Method Application for Solving Gas Dynamics Problems.- Chapter 5. Using the CFD Code hy Sol to Calculate High-speed Flows.- Chapter 6. Mathematical Modeling of Spots Chain Dynamics in Fluid.- Chapter 7. Simulation of Flows near Wings with Supersonic Edges.- Chapter 8. 3-D Quasi-Conformal Mappings and Generalization of Axisymmetric Case.- Chapter 9. Direct Numerical Simulation of Two-dimensional Turbulence and Investigation of the Boundary Conditions Influence on the Energy Cascade Formation.- Chapter 10. Numerical Modeling of Non-Stationary Flow Near Lateral Surface of the Descent Module in Martian Atmosphere for Wide Range of Attack Angles.- Part II: NUMERICAL SIMULATION OF PHYSICAL AND CHEMICAL PROCESSES IN GASES AND LIQUIDS.- Chapter 11. Probe Diagnostics of Rarefied Plasma Flows from Magnetoplasmodynamic Engines.- Chapter 12. Numerical Simulation of Combustion Wave Propagation in a Black Powder Charge using a Two-Fluid Model.- Chapter 13. Unconventional Trajectories of Meteoroids in the Earth’s Atmosphere.- Chapter 14. Mathematical Modeling of Dynamic and Optical Effects in Ionospheric Experiments Using an Explosive Chemical Generator.- Chapter 15. Numerical Study of the Perturbed Region Produced by a Heating Facility in the Lower Ionosphere.
Circa l’autore
Dr. Margarita N. Favorskaya is Professor and Head of Department of Informatics and Computer Techniques at Reshetnev Siberian State University of Science and Technology, Russian Federation. She is Member of KES organization since 2010, IPC Member and Chair of invited sessions of over 30 international conferences. She serves as a reviewer in international journals (Neurocomputing, Knowledge and Soft Data Paradigms, Pattern Recognition Letters, Engineering Applications of Artificial Intelligence), Associate Editor of Intelligent Decision Technologies Journal, International Journal of Knowledge-Based and Intelligent Engineering Systems, International Journal of Reasoning-based Intelligent Systems, Honorary Editor of the International Journal of Knowledge Engineering and Soft Data Paradigms, Reviewer, Guest Editor, and Book Editor (Springer). She is the author/co-author of 200 publications and 20 educational manuals in computer science/engineering. She co-authored/co-edited more than twenty books for Springer recently. She supervised nine Ph.D. candidates and presently supervising four Ph.D. students. Her main research interests are digital image and videos processing, remote sensing, pattern recognition, fractal image processing, artificial intelligence, smart systems design and information technologies.
Dr. Ilia S. Nikitin is Professor and Director ICAD RAS, Professor at Moscow aviation institute (MAI), Member of the Russian National Committee on Theoretical and Applied Mechanics, expert RAS, expert RSF, expert Minobrnauki RF. He graduated Moscow Institute of Physics and Technology. His scientific interests are mathematical modelling, numerical methods in continuum mechanics, moving adaptive meshes, dynamics of elastoplastic media, fatigue fracture, durability of operation, and high-frequency loading. The main scientific results are the numerical methods for solving non-stationary problems of continuum mechanics on moving and adaptive grids, methods for calculating the stress state of elements of aircraft structures and assessing the durability for various fatigue failure modes, refined models of layered and block media with different sliding conditions at the contact boundaries, the problems of propagation, transformation and reflection of waves in such media, and models of sintering powder materials under thermomechanical and pulsed high-energy effects.
Dr. Natalia S. Severina is Deputy Director for Research Institute of Information Technology and Applied Mathematics and Professor Assistant of Department of Numerical Mathematics and Programming at Moscow Aviation Institute (National Research University), Russian Federation. He is Editor-in-Chief of the Special Issue of The Thirteenth International Conference on Applied Mathematics and Mechanics in the Aerospace Industry (AMMAI’2020) and of The XI International Scientific & Technical Conference on Robotic and Intelligent Aircraft Systems Improving Challenges (RIASIC’20). Scientific interests are the following: mathematical modelling, physical gas dynamics, unsteady flows of multicomponent reacting gas. Scientific results are the following: he is the author of more than 50 scientific papers in Russian and international journals, 2 monographs, 4 tutorials. The main scientific results are in the fields of simulation of the fine structures of nonstationary quasi-one-dimensional multicomponent reacting flows with clear separation of strong and weak discontinuities the parameters of which are calculated by special grid-characteristic algorithms.
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