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Computational fluid dynamics. --- Modélisation CFD. --- Dynamique des fluides --- Informatique.
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Although computer technology has dramatically improved the analysis of complex transport phenomena, the methodology has yet to be effectively integrated into engineering curricula. The huge volume of literature associated with the wide variety of transport processes cannot be appreciated or mastered without using innovative tools to allow comprehension and study of these processes. Connecting basic principles with numerical methodology for solving the conservations laws, Computational Transport Phenomena for Engineering Analyses presents the topic in terms of modern engineering analysis. The book includes a production quality computer source code for expediting and illustrating analyses of mass, momentum, and energy transport.The text covers transport phenomena with examples that extend from basic empirical analyses to complete numerical analyses. It includes a computational transport phenomena (CTP) code written in Fortran and developed and owned by the authors. The code does not require a lease and can run on a PC or a supercomputer. The authors also supply the source code, allowing users to modify the code to serve their particular needs, once they are familiar with the code. Using the CTP code, grid generation and solution procedures are described and visual solution presentations are illustrated thus offering extensive coverage of the methodology for a wide range of applications.The authors illustrate and emphasize that the very general solutions afforded by solving the unsteady, multidimensional transport equations for real multicomponent fluids describe an immense body of physical processes. Bringing together a wealth of professional and instructional experience, this book stresses a problem-solving approach that uses one set of computational and graphical tools to describe all aspects of the analysis. It provides understanding of the principles involved so that code improvements and/or use of commercial codes can be accomplished knowledgeably.
Computational fluid dynamics. --- Transport theory --- Modélisation CFD. --- Théorie du transport --- Mathematics. --- Mathématiques.
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This book consists of two strongly interweaved parts: the mathematical theory of stochastic processes and its applications to molecular theories of polymeric fluids. The comprehensive mathematical background provided in the first part should be equally useful in many other branches of engineering and the natural sciences. As a benefit from the second part one gains a more direct understanding of polymer dynamics, one can more easily identify exactly solvable models, and one can develop efficient computer simulation algorithms in a straightforward manner. In view of the many examples and exercises, on the one hand, and the numerous applications to problems from the front line of science, on the other hand, this volume may be used equally well as a basic textbook or as an up-to-date reference book. [Publisher]
Polymers --- Computational fluid dynamics --- Stochastic processes --- Polymères --- Modélisation CFD. --- Processus stochastiques --- Mechanical properties --- Data Processing --- Propriétés mécaniques. --- Informatique.
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Fluid dynamics --- Computational fluid dynamics. --- Numerical analysis. --- Mathematics. --- Numerical analysis --- Fluides, Dynamique des --- Analyse numérique --- Mathematics --- Informatique --- Mathématiques --- Modélisation CFD. --- Analyse numérique. --- Mathématiques. --- Informatique. --- Modélisation CFD.
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532.5 --- Fluid dynamics --- -#ABIB:vcbt --- 532.5 Liquid motion. Hydrodynamics --- Liquid motion. Hydrodynamics --- Data processing --- -532.5 Liquid motion. Hydrodynamics --- Dynamics --- Fluid mechanics --- Computational fluid dynamics --- Data processing. --- Computational fluid dynamics. --- Modélisation CFD. --- Fluides, Dynamique des --- Informatique. --- Monograph --- -Dynamics --- Dynamique des fluides --- -Data processing --- Modélisation CFD.
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"This book offers detailed insights into new methods for high-fidelity CFD, and their industrially relevant applications in aeronautics. It reports on the H2020 TILDA project, funded by the European Union in 2015-2018. The respective chapters demonstrate the potential of high-order methods for enabling more accurate predictions of non-linear, unsteady flows, ensuring enhanced reliability in CFD predictions. The book highlights industrially relevant findings and representative test cases on the development of high-order methods for unsteady turbulence simulations on unstructured grids; on the development of the LES/DNS methodology by means of multilevel, adaptive, fractal and similar approaches for applications on unstructured grids; and on leveraging existent large-scale HPC networks to facilitate the industrial applications of LES/DNS in daily practice. Furthermore, the book discusses multidisciplinary applications of high-order methods in the area of aero-acoustics. All in all, it offers timely insights into the application and performance of high-order methods for CFD, and an extensive reference guide for researchers, graduate students, and industrial engineers whose work involves CFD and turbulence modeling." [Publisher]
Space research --- Astronomy --- Mathematical physics --- Classical mechanics. Field theory --- Fluid mechanics --- Vibrations --- Physics --- Applied physical engineering --- Air traffic --- geluidsleer --- akoestiek --- astronauten --- theoretische fysica --- engineering --- luchtvaart --- wiskunde --- ingenieurswetenschappen --- fysica --- ruimtevaart --- mechanica --- vloeistoffen --- Computational fluid dynamics. --- Modélisation CFD. --- Aeronautics. --- Aéronautique. --- Modélisation CFD. --- Aéronautique. --- Aéronautique
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In its 3rd revised and extended edition the book offers an overview of the techniques used to solve problems in fluid mechanics on computers and describes in detail those most often used in practice. Included are advanced methods in computational fluid dynamics, like direct and large-eddy simulation of turbulence, multigrid methods, parallel computing, moving grids, structured, block-structured and unstructured boundary-fitted grids, free surface flows. The 3rd edition contains a new section dealing with grid quality and an extended description of discretization methods. The book shows common roots and basic principles for many different methods. The book also contains a great deal of practical advice for code developers and users; it is designed to be equally useful to beginners and experts.The issues of numerical accuracy, estimation and reduction of numerical errors are dealt with in detail, with many examples.
532.5 --- 519.63 --- 681.3*G18 --- Fluid dynamics --- -Dynamics --- Fluid mechanics --- Liquid motion. Hydrodynamics --- Numerical methods for solution of partial differential equations --- Partial differential equations: difference methods; elliptic equations; finite element methods; hyperbolic equations; method of lines; parabolic equations (Numerical analysis) --- Data processing --- Data processing. --- Engineering. --- Hydraulic engineering. --- Mathematics. --- Mechanical engineering. --- Computational fluid dynamics --- Engineering & Applied Sciences --- Applied Mathematics --- -Liquid motion. Hydrodynamics --- 681.3 *G18 Partial differential equations: difference methods; elliptic equations; finite element methods; hyperbolic equations; method of lines; parabolic equations (Numerical analysis) --- 519.63 Numerical methods for solution of partial differential equations --- 532.5 Liquid motion. Hydrodynamics --- -681.3 *G18 Partial differential equations: difference methods; elliptic equations; finite element methods; hyperbolic equations; method of lines; parabolic equations (Numerical analysis) --- CFD (Computational fluid dynamics) --- Computer simulation --- 681.3 *G18 --- Computational fluid dynamics. --- Modélisation CFD. --- Fluides, Dynamique des --- Informatique. --- Applied mathematics. --- Engineering mathematics. --- Continuum physics. --- Fluid mechanics. --- Computational intelligence. --- Physics. --- Applications of Mathematics. --- Classical and Continuum Physics. --- Mechanical Engineering. --- Engineering Fluid Dynamics. --- Computational Intelligence. --- Numerical and Computational Physics, Simulation. --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Hydromechanics --- Continuum mechanics --- Engineering, Mechanical --- Engineering --- Machinery --- Steam engineering --- Classical field theory --- Continuum physics --- Physics --- Engineering analysis --- Mathematical analysis --- Mathematics --- Dynamique des fluides --- Modélisation CFD.
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