Smart Modelling For Engineering Systems
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Smart Modelling For Engineering Systems

Proceedings of the International Conference on Computational Methods in Continuum Mechanics (CMCM 2021), Volume 1
 eBook
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9789813347090
Veröffentl:
2021
Einband:
eBook
Seiten:
302
Autor:
Margarita N. Favorskaya
Serie:
214, Smart Innovation, Systems and Technologies
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:

This book is a collection of research papers selected for presentation at the International Conference on Smart Computational Methods in Continuum Mechanics 2021, organized by Moscow Institute of Physics and Technology and the Institute for Computer Aided Design of Russian Academy of Sciences. The work is presented in two volumes. The primary objective of the book is to report the state-of-the-art on smart computational paradigms in continuum mechanics and explore the use of artificial intelligence paradigms such as neural nets, and machine learning for improving the performance of the designed engineering systems. The book includes up-to-date smart computational methods which are used to solve problems in continuum mechanics, engineering, seismic prospecting, non-destructive testing, and so on. The main features of the book are the research papers on the application of novel smart methods including neural nets and machine learning, computational algorithms, smart software systems, and high-performance computer systems for solving complex engineering problems. The case studies pertaining to the real-world applications in the above fields are included. The book presents a collection of best research papers in English language from some of the world leaders in the field of smart system modelling and design of engineering systems.
This book is a collection of research papers selected for presentation at the International Conference on Smart Computational Methods in Continuum Mechanics 2021, organized by Moscow Institute of Physics and Technology and the Institute for Computer Aided Design of Russian Academy of Sciences. The work is presented in two volumes. The primary objective of the book is to report the state-of-the-art on smart computational paradigms in continuum mechanics and explore the use of artificial intelligence paradigms such as neural nets, and machine learning for improving the performance of the designed engineering systems. The book includes up-to-date smart computational methods which are used to solve problems in continuum mechanics, engineering, seismic prospecting, non-destructive testing, and so on. The main features of the book are the research papers on the application of novel smart methods including neural nets and machine learning, computational algorithms, smart software systems, andhigh-performance computer systems for solving complex engineering problems. The case studies pertaining to the real-world applications in the above fields are included. The book presents a collection of best research papers in English language from some of the world leaders in the field of smart system modelling and design of engineering systems.
Chapter 1. Recent Advances in Computational Physics.- Chapter 2. The Scientific and Life Path of Academician Oleg M.- Chapter 3. Numerical Simulation of Spatial Flows in Shear Layers .- Chapter 4. Modeling of Unsteady Flows in Gas Astrophysical Objects on Supercomputers.- Chapter 5. Modeling of the Physical Processes of the Impact of a Powerful Nuclear Explosion on an Asteroid.- Chapter 6. A Multidimensional Multi-Temperature Gas Dynamic and the Neutrino Spectrum in 2D Gravitational Collapse.- Chapter 7. The Airy Stress Function for Non-Euclidean Model of a Continuous Medium and Description of Residual Stresses.- Chapter 8. Numerical Comparison of Different Approaches for the Fractured Medium Simulation.- Chapter 9. The Comparison of Two Approaches to Modeling  the Seismic Waves Spread in the Heterogeneous 2D Medium with Gas  Cavities.- Chapter 10. Mathematical Modeling of Spatial Wave Processes in Fractured Seismic Media .

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