Smart Modeling for Engineering Systems

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Release : 2019-01-08
Genre : Technology & Engineering
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Book Rating : 287/5 ( reviews)

Smart Modeling for Engineering Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Smart Modeling for Engineering Systems write by Igor B. Petrov. This book was released on 2019-01-08. Smart Modeling for Engineering Systems available in PDF, EPUB and Kindle. This book highlights the work of several world-class researchers on smart modeling of complex systems. The contributions are grouped into the four main categories listed below. · Numerical schemes construction for the solution of partial differential equations. · Numerical methods in continuum media mechanics problems. · Mathematical modeling in aerodynamics, plasma physics, deformable body mechanics, and geological hydrocarbon exploration. · Mathematical modeling in medical applications. The book offers a valuable resource for theoreticians and application scientists and engineers, as well as postgraduate students, in the fields of computational methods, numerical experiments, parallel algorithms, deformable solid bodies, seismic stability, seismic prospecting, migration, elastic and acoustic wave investigation, gas dynamics, astrophysics, aerodynamics, fluid dynamics, turbulent flows, hypersonic flows, detonation waves, composite materials, fracture mechanics, melting of metals, mathematical economics, medicine, and biology.

Smart Modelling For Engineering Systems

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Release : 2021-02-26
Genre : Technology & Engineering
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Book Rating : 090/5 ( reviews)

Smart Modelling For Engineering Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Smart Modelling For Engineering Systems write by Margarita N. Favorskaya. This book was released on 2021-02-26. Smart Modelling For Engineering Systems available in PDF, EPUB and Kindle. 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.

Engineering Analysis of Smart Material Systems

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Release : 2007-09-10
Genre : Technology & Engineering
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Book Rating : 775/5 ( reviews)

Engineering Analysis of Smart Material Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Engineering Analysis of Smart Material Systems write by Donald J. Leo. This book was released on 2007-09-10. Engineering Analysis of Smart Material Systems available in PDF, EPUB and Kindle. The book provides a pedagogical approach that emphasizes the physical processes of active materials and the design and control of engineering systems. It will also be a reference text for practicing engineers who might understand the basic principles of active materials but have an interest in learning more about specific applications. The text includes a number of worked examples, design problems, and homework problems (with a solutions manual) that will be useful for both instructors and practicing engineers.

Advances in Mathematical and Computational Modeling of Engineering Systems

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Release : 2023-02-20
Genre : Computers
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Book Rating : 099/5 ( reviews)

Advances in Mathematical and Computational Modeling of Engineering Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Mathematical and Computational Modeling of Engineering Systems write by Mukesh Kumar Awasthi. This book was released on 2023-02-20. Advances in Mathematical and Computational Modeling of Engineering Systems available in PDF, EPUB and Kindle. The text covers a wide range of topics such as mathematical modeling of crop pest control management, water resources management, impact of anthropogenic activities on atmospheric carbon dioxide concentrations, impact of climate changes on melting of glaciers and polar bear populations, dynamics of slow–fast predator-prey system and spread and control of HIV epidemic. It emphasizes the use of mathematical modeling to investigate the fluid flow problems including the breaking of viscoelastic jet, instability arising in nanofiber, flow in an annulus channel, and thermal instability in nano-fluids in a comprehensive manner. This book will be a readily accessible source of information for the students, researchers and policymakers interested in the application of mathematical and computational modeling techniques to investigate various biological and engineering phenomena. Features Focuses on the current modeling and computational trends to investigate various ecological, epidemiological, and engineering systems. Presents the mathematical modeling of a wide range of ecological and environmental issues including crop pest control management, water resources management, the effect of anthropogenic activities on atmospheric carbon dioxide concentrations, and impact of climate changes on melting of glaciers and polar bear population. Covers a wide range of topics including the breaking of viscoelastic jet, instability arising in nanofiber, flow in an annulus channel, and thermal instability in nano-fluids. Examines evolutionary models i.e., models of time-varying processes. Highlights the recent developments in the analytical methods to investigate the nonlinear dynamical systems. Showcases diversified applications of computational techniques to solve practical biological and engineering problems. The book focuses on the recent research developments in the mathematical modeling and scientific computing of biological and engineering systems. It will serve as an ideal reference text for senior undergraduate, graduate students, and researchers in diverse fields including ecological engineering, environmental engineering, computer engineering, mechanical engineering, mathematics, and fluid dynamics.

Engineering Systems: Modeling and Simulation

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Release : 2015-03-02
Genre : Engineering systems
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Book Rating : 798/5 ( reviews)

Engineering Systems: Modeling and Simulation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Engineering Systems: Modeling and Simulation write by Gregory Rago. This book was released on 2015-03-02. Engineering Systems: Modeling and Simulation available in PDF, EPUB and Kindle. This book presents an open platform to establish and share knowledge developed by engineers, scientists, and scholars from across the globe regarding numerous different applications of the simulation and modeling in the design procedure of products in several engineering fields. It discusses some of the latest simulation and modeling strategies, as well as certain extremely precise and smart software in treating complicated systems. The basic idea of the book is to manipulate the simplifying assumptions in a way that decreases the complexity of the model, but without changing the accuracy of the results. The book will serve as a great source of reference for a wide spectrum of readers.