This book discusses physical and mathematical models, numerical methods, computational algorithms and software complexes, which allow high-precision mathematical modeling in fluid, gas, and plasma mechanics; general mechanics; deformable solid mechanics; and strength, destruction and safety of structures. These proceedings focus on smart technologies and software systems that provide effective solutions to real-world problems in applied mechanics at various multi-scale levels. Highlighting the training of specialists for the aviation and space industry, it is a valuable resource for experts in the field of applied mathematics and mechanics, mathematical modeling and information technologies, as well as developers of smart applied software systems.

Autorentext
Lakhmi C. Jain, Ph.D., M.E., B.E.(Hons), Fellow (Engineers Australia), is with the Faculty of Education, Science, Technology & Mathematics at the University of Canberra, Australia, and Bournemouth University, UK. Professor Jain founded the KES International for providing a professional community the opportunities for publications, knowledge exchange, cooperation, and teaming. Involving around 5,000 researchers drawn from universities and companies world-wide, KES facilitates international cooperation and generates synergy in teaching and research. KES regularly provides networking opportunities for professional community through one of the largest conferences of its kind in the area of KES. His interests focus on the artificial intelligence paradigms and their applications in complex systems, security, e-education, e-healthcare, unmanned air vehicles, and intelligent agents.
Dr. Margarita N. Favorskaya is a Professor and Head of the Department of Informatics and Computer Techniques at Reshetnev Siberian State University of Science and Technology, Russian Federation. Professor Favorskaya is a member of KES organization since 2010, the IPC member, and the Chair of invited sessions of over 30 international conferences. She serves as a reviewer in international journals (neurocomputing, knowledge engineering and soft data paradigms, pattern recognition letters, engineering applications of artificial intelligence), an Associate Editor of Intelligent Decision Technologies Journal, International Journal of Knowledge-Based and Intelligent Engineering Systems, International Journal of Reasoning-based Intelligent Systems, a Honorary Editor of the International Journal of Knowledge Engineering and Soft Data Paradigms, the 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 seven 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 a Professor and Director at Institute of Computer Aided Design RAS (ICAD RAS), a professor at Moscow Aviation Institute (MAI), a 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 modeling, 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. Dmitry L. Reviznikov is a Professor of the Department of Numerical Mathematics and Programming at Moscow Aviation Institute (National Research University), Russian Federation. Professor Dmitry L Reviznikov is a member of the Russian National Committee on Heat and Mass Transfer, a member of the Scientific Council of International Centre for Heat and Mass Transfer (ICHMT). He is a reviewer in international journals (International Journal of Heat and Mass Transfer, Computational Thermal Sciences, International Journal of Fluid Mechanics Research). He supervised eight Ph.D. candidates and presently supervising three Ph.D. students.Scientific interests: mathematical modeling, computational physics, heat and mass transfer, multiphase flows, nonlinear dynamics, and data analysis. Scientific results: author of more than 100 scientific papers in Russian and international journals, 4 monographs. Fundamental results in the fields of modeling of conjugated heat and mass transfer, supersonic heterogeneous flows, thermal erosion destruction of heat-shielding coatings, anomalous diffusion, numerical methods for fractional differential equations, nonlinear wave dynamics, and interval analysis.

Inhalt
Advances in Computational Mechanics and Numerical Simulation.-The Splitting Scheme for Mathematical Modeling of the Mixed Region Dynamics in a Stratified Fluid.- Modeling of Some Astrophysical Problems on Supercomputers Using Gasdynamical Model.-Numerical Modeling of the Kolmogorov Flow in a Viscous Media.- On Structures of Supersonic Flow around Plane System of Cylindrical Rods.-Limiting Functions Affecting the Accuracy of Numerical Solution Obtained by Discontinuous Galerkin Method.- Numerical Simulation of Detonation Initiation: The Quest of Grid Resolution.- On the Stability of a Detonation Wave in a Channel of Variable cross Section with Supersonic Input and Output Flows.- Physical and Kinematic Processes Associated with Meteoroid when Falling in the Earth's Atmosphere.- Computational Modeling of Rarefied Plasma and Neutral Gas Effusion into Vacuum.