Standard

Tensor methodology and computational geometry in direct computational experiments in fluid mechanics. / Degtyarev, Alexander; Khramushin, Vasily; Shichkina, Julia.

In: AIP Conference Proceedings, Vol. 1863, No. 110006, 2017, p. 4p.

Research output: Contribution to journal › Article › peer-review

Harvard

Degtyarev, A, Khramushin, V & Shichkina, J 2017, 'Tensor methodology and computational geometry in direct computational experiments in fluid mechanics', AIP Conference Proceedings, vol. 1863, no. 110006, pp. 4p. https://doi.org/10.1063/1.4992291

APA

Degtyarev, A., Khramushin, V., & Shichkina, J. (2017). Tensor methodology and computational geometry in direct computational experiments in fluid mechanics. AIP Conference Proceedings, 1863(110006), 4p. https://doi.org/10.1063/1.4992291

Vancouver

Degtyarev A, Khramushin V, Shichkina J. Tensor methodology and computational geometry in direct computational experiments in fluid mechanics. AIP Conference Proceedings. 2017;1863(110006):4p. https://doi.org/10.1063/1.4992291

Author

Degtyarev, Alexander ; Khramushin, Vasily ; Shichkina, Julia. / Tensor methodology and computational geometry in direct computational experiments in fluid mechanics. In: AIP Conference Proceedings. 2017 ; Vol. 1863, No. 110006. pp. 4p.

BibTeX

@article{9e66afbe2d4b4a22ac6ecb2eefa0658a,
title = "Tensor methodology and computational geometry in direct computational experiments in fluid mechanics",
abstract = "The paper considers a generalized functional and algorithmic construction of direct computational experiments in fluid dynamics. Notation of tensor mathematics is naturally embedded in the finite – element operation in the construction of numerical schemes. Large fluid particle, which have a finite size, its own weight, internal displacement and deformation is considered as an elementary computing object. Tensor representation of computational objects becomes strait linear and uniquely approximation of elementary volumes and fluid particles inside them. The proposed approach allows the use of explicit numerical scheme, which is an important condition for increasing the efficiency of the algorithms developed by numerical procedures with natural parallelism. It is shown that advantages of the proposed approach are achieved among them by considering representation of large particles of a continuous medium motion in dual coordinate systems and computing operations in the projections of these two coordinate system",
author = "Alexander Degtyarev and Vasily Khramushin and Julia Shichkina",
year = "2017",
doi = "10.1063/1.4992291",
language = "English",
volume = "1863",
pages = "4p",
journal = "AIP Conference Proceedings",
issn = "0094-243X",
publisher = "American Institute of Physics",
number = "110006",

}

RIS

TY - JOUR

T1 - Tensor methodology and computational geometry in direct computational experiments in fluid mechanics

AU - Degtyarev, Alexander

AU - Khramushin, Vasily

AU - Shichkina, Julia

PY - 2017

Y1 - 2017

N2 - The paper considers a generalized functional and algorithmic construction of direct computational experiments in fluid dynamics. Notation of tensor mathematics is naturally embedded in the finite – element operation in the construction of numerical schemes. Large fluid particle, which have a finite size, its own weight, internal displacement and deformation is considered as an elementary computing object. Tensor representation of computational objects becomes strait linear and uniquely approximation of elementary volumes and fluid particles inside them. The proposed approach allows the use of explicit numerical scheme, which is an important condition for increasing the efficiency of the algorithms developed by numerical procedures with natural parallelism. It is shown that advantages of the proposed approach are achieved among them by considering representation of large particles of a continuous medium motion in dual coordinate systems and computing operations in the projections of these two coordinate system

AB - The paper considers a generalized functional and algorithmic construction of direct computational experiments in fluid dynamics. Notation of tensor mathematics is naturally embedded in the finite – element operation in the construction of numerical schemes. Large fluid particle, which have a finite size, its own weight, internal displacement and deformation is considered as an elementary computing object. Tensor representation of computational objects becomes strait linear and uniquely approximation of elementary volumes and fluid particles inside them. The proposed approach allows the use of explicit numerical scheme, which is an important condition for increasing the efficiency of the algorithms developed by numerical procedures with natural parallelism. It is shown that advantages of the proposed approach are achieved among them by considering representation of large particles of a continuous medium motion in dual coordinate systems and computing operations in the projections of these two coordinate system

U2 - 10.1063/1.4992291

DO - 10.1063/1.4992291

M3 - Article

VL - 1863

SP - 4p

JO - AIP Conference Proceedings

JF - AIP Conference Proceedings

SN - 0094-243X

IS - 110006

ER -

ID: 7755989