2017
DOI: 10.1063/1.4992291
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Tensor methodology and computational geometry in direct computational experiments in fluid mechanics

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Cited by 4 publications
(5 citation statements)
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“…A specially synthesized functionalalgorithmic apparatus with a strict and definite representation of mechanics and physics laws in architecture and programming languages of modern computers is used [4].…”
Section: Direct Continual-corpuscular Computational Experimentsmentioning
confidence: 99%
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“…A specially synthesized functionalalgorithmic apparatus with a strict and definite representation of mechanics and physics laws in architecture and programming languages of modern computers is used [4].…”
Section: Direct Continual-corpuscular Computational Experimentsmentioning
confidence: 99%
“…Tensor mathematics in the simulation of processes in continuous medium mechanics synthesizes two-stage computational experiments with the help of the principal (linear) components of the hydromechanics laws in the vicinity of adjacent fluid particles at controlled time intervals [1]. The use of the classical apparatus of the tensor calculus allows one to formalize the key approximations of hydromechanics in the three-dimensional space and the absolute time.…”
Section: Introductionmentioning
confidence: 99%
“…The algorithmic realization of direct numerical simulations using explicit schemes has a beautiful historical analogy [2] in the form of calculus of fluxions by Isaac Newton. In the up-to-date algorithms, such implementation is represented as three-dimensional space numeric objects.…”
Section: The Subject Of Applicationmentioning
confidence: 99%
“…As shown, it can be represented in the form of the recalculation from the local coordinates of the point into the global reference system in accordance with the time interval t. 1 fluens, fluentis are functions x, y, z on the argument of time t; fluxioẋ,ẏ,ż are time derivatitives x, y, z. 2 In scalar notation: 3 Tensor object without indices here and later are marked by bold.…”
Section: The Subject Of Applicationmentioning
confidence: 99%
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