Embedding Computational Fluid Dynamics Industrial and Research-Scale Projects Using High-Performance Computing in an Upper-Level Engineering Physics Course [PDF]
Steven Ferguson+8 more
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Aeroelastic Modeling of a Nozzle Startup Transient [PDF]
Lateral nozzle forces are known to cause severe structural damage to any new rocket engine in development during test. While three-dimensional, transient, turbulent, chemically reacting computational fluid dynamics methodology has been demonstrated to ...
Chen, Yen-Sen+3 more
core +1 more source
Chaotic Hypothesis and Universal Large Deviations Properties
Chaotic systems arise naturally in Statistical Mechanics and in Fluid Dynamics. A paradigm for their modelization are smooth hyperbolic systems. Are there consequences that can be drawn simply by assuming that a system is hyperbolic?
Gallavotti, Giovanni
core
Monte-Carlo statistical hadronization in relativistic heavy-ion collisions
A brief introduction to the statistical hadronization approach to particle production in relativistic heavy-ion collisions is given. In the context of fluid dynamics modeling various aspects of hadron emission at the freeze-out are discussed.
Ryblewski, Radoslaw
core
Fox: Electromagnetics and Fluid Dynamics of Gaseous Plasma/Preston: Physics of the Nucleus/Kaplan: Nuclear Physics/Itterbeek: Problems of Low Temperature Physics and Thermodynamics/Buch: Einführung in die allgemeine Vakuumtechnik/Low: The Fracture of Metals [PDF]
H. E. Völcker+5 more
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Application of advanced computational technology to propulsion CFD [PDF]
The Internal Fluid Mechanics Division of the NASA Lewis Research Center is combining the key elements of computational fluid dynamics, aerothermodynamic experiments, and advanced computational technology to bring internal computational fluid dynamics ...
Szuch, John R.
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Development of a computational instrument using a lagrangian particle method for physics teaching in the areas of fluid dynamics and transport phenomena [PDF]
Carlos Alberto Dutra Fraga Filho
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Editorial: Data-driven modeling and optimization in fluid dynamics: From physics-based to machine learning approaches [PDF]
Michel Bergmann+2 more
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