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Enhancing Computational Fluid Dynamics with Machine Learning [PDF]
Nature Computational Science, 2021 Machine learning is rapidly becoming a core technology for scientific computing, with numerous opportunities to advance the field of computational fluid dynamics. In this Perspective, we highlight some of the areas of highest potential impact, including to accelerate direct numerical simulations, to improve turbulence closure modeling, and to develop ...
Ricardo Vinuesa, S. Brunton
arxiv +2 more sources
Multiscale Computational Fluid Dynamics
Energies, 2019 Computational Fluid Dynamics (CFD) has numerous applications in the field of energy research, in modelling the basic physics of combustion, multiphase flow and heat transfer; and in the simulation of mechanical devices such as turbines, wind wave and ...
Dimitris Drikakis +2 more
doaj +2 more sources
Machine learning–accelerated computational fluid dynamics [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2021 Significance Accurate simulation of fluids is important for many science and engineering problems but is very computationally demanding. In contrast, machine-learning models can approximate physics very quickly but at the cost of accuracy.
Dmitrii Kochkov +5 more
semanticscholar +1 more source
Variational Quantum Algorithms for Computational Fluid Dynamics [PDF]
AIAA Journal, 2022 Quantum computing uses the physical principles of very small systems to develop computing platforms which can solve problems that are intractable on conventional supercomputers.
D. Jaksch, P. Givi, A. Daley, T. Rung
semanticscholar +1 more source
Introduction to Computational Fluid Dynamics
essentials, 2023 A projected frontal area or planform area of an object b span or depth of a flat plate (into the page when viewed from the edge) CD drag coefficient: CD = 2FD /VA D height (2-dimensional) or diameter (axisymmetric) of a block or other object in the flow
Karim Ghaib
semanticscholar +1 more source
Applied Sciences, 2022 Air-blast loading is a serious threat to military and civil vehicles, buildings, containers, and cargo. Applications of sandwich-structured composites have attracted increasing interest in modern lightweight design and in the construction of dynamic ...
Marcel Walkowiak +2 more
doaj +1 more source
Scientific Reports, 2022 A numerical simulation of sibilant /s/ production with the realistically moving vocal tract was conducted to investigate the flow and acoustic characteristics during the articulation process of velopharyngeal closure and tongue movement. The articulation
HsuehJui Lu +5 more
doaj +1 more source
Numerical investigation of effects of incisor angle on production of sibilant /s/
Scientific Reports, 2021 The effects of the inclination angle of the incisor on the speech production of the fricative consonant /s/ was investigated using an implicit compressible flow solver.
HsuehJui Lu +5 more
doaj +1 more source
Adaptively switched time stepping scheme for direct aeroacoustic computations
AIP Advances, 2022 The physical variables involved in a flow field are of very different scales to those of the aeroacoustic field within the flow. Thus, direct aeroacoustic computations (DACs) require extremely small time steps to capture the fluctuations in the ...
HsuehJui Lu +2 more
doaj +1 more source
Large eddy simulation of aircraft at affordable cost: a milestone in computational fluid dynamics
Flow, 2021 Graphical Abstract Abstract While there have been numerous applications of large eddy simulations (LES) to complex flows, their application to practical engineering configurations, such as full aircraft models, have been limited to date.
K. Goc +4 more
semanticscholar +1 more source