Algorithms of solution reconstruction on unstructured grids in computational aerodynamics: impact on aircraft design at the Boeing Company

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Standard

Algorithms of solution reconstruction on unstructured grids in computational aerodynamics : impact on aircraft design at the Boeing Company. / Petrovskaya, Natalia.

UK Success Stories in Industrial Mathematics. ed. / Philip Aston; Anthony J. Mulholland; Katherine M.M. Tant. Springer, 2016. p. 137-143.

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Harvard

APA

Petrovskaya, N. (2016). Algorithms of solution reconstruction on unstructured grids in computational aerodynamics: impact on aircraft design at the Boeing Company. In P. Aston, A. J. Mulholland, & K. M. M. Tant (Eds.), UK Success Stories in Industrial Mathematics (pp. 137-143). Springer. https://doi.org/10.1007/978-3-319-25454-8

Vancouver

Author

Petrovskaya, Natalia. / Algorithms of solution reconstruction on unstructured grids in computational aerodynamics : impact on aircraft design at the Boeing Company. UK Success Stories in Industrial Mathematics. editor / Philip Aston ; Anthony J. Mulholland ; Katherine M.M. Tant. Springer, 2016. pp. 137-143

Bibtex

@inbook{3a80b3e4dd484e1a8e3e0119f22fe5c1,
title = "Algorithms of solution reconstruction on unstructured grids in computational aerodynamics: impact on aircraft design at the Boeing Company",
abstract = "We describe work that demonstrated the benefits achieved when the mathematical and computational aspects of a fluid dynamics problem were brought together to work on real-world aerodynamic applications. The research into solution reconstruction on adaptive grids was required by The Boeing Company in order to help them to design an efficient and accurate discretization of the governing equations that have to be solved numerically for the generation of aerodynamic data for various flow regimes. While earlier insight into the solution reconstruction problem was purely based on empirical intuition, research conducted by the author under a contract with Boeing has resulted in the development of the necessary synthetic judgement in which the importance of accurate reconstruction on unstructured grids has been fully recognised by the CFD researchers at Boeing and has helped them to make an informed decision on the choice of a discretization method in their CFD code. Efficient use of CFD in the design of new aircraft has allowed The Boeing Company to further strengthen their core operations, improve their execution and competitiveness and leverage their international advantage.",
author = "Natalia Petrovskaya",
year = "2016",
month = feb,
day = "22",
doi = "10.1007/978-3-319-25454-8",
language = "English",
isbn = " 978-3319254524",
pages = "137--143",
editor = "Aston, { Philip} and Mulholland, {Anthony J.} and Tant, {Katherine M.M.}",
booktitle = "UK Success Stories in Industrial Mathematics",
publisher = "Springer",

}

RIS

TY - CHAP

T1 - Algorithms of solution reconstruction on unstructured grids in computational aerodynamics

T2 - impact on aircraft design at the Boeing Company

AU - Petrovskaya, Natalia

PY - 2016/2/22

Y1 - 2016/2/22

N2 - We describe work that demonstrated the benefits achieved when the mathematical and computational aspects of a fluid dynamics problem were brought together to work on real-world aerodynamic applications. The research into solution reconstruction on adaptive grids was required by The Boeing Company in order to help them to design an efficient and accurate discretization of the governing equations that have to be solved numerically for the generation of aerodynamic data for various flow regimes. While earlier insight into the solution reconstruction problem was purely based on empirical intuition, research conducted by the author under a contract with Boeing has resulted in the development of the necessary synthetic judgement in which the importance of accurate reconstruction on unstructured grids has been fully recognised by the CFD researchers at Boeing and has helped them to make an informed decision on the choice of a discretization method in their CFD code. Efficient use of CFD in the design of new aircraft has allowed The Boeing Company to further strengthen their core operations, improve their execution and competitiveness and leverage their international advantage.

AB - We describe work that demonstrated the benefits achieved when the mathematical and computational aspects of a fluid dynamics problem were brought together to work on real-world aerodynamic applications. The research into solution reconstruction on adaptive grids was required by The Boeing Company in order to help them to design an efficient and accurate discretization of the governing equations that have to be solved numerically for the generation of aerodynamic data for various flow regimes. While earlier insight into the solution reconstruction problem was purely based on empirical intuition, research conducted by the author under a contract with Boeing has resulted in the development of the necessary synthetic judgement in which the importance of accurate reconstruction on unstructured grids has been fully recognised by the CFD researchers at Boeing and has helped them to make an informed decision on the choice of a discretization method in their CFD code. Efficient use of CFD in the design of new aircraft has allowed The Boeing Company to further strengthen their core operations, improve their execution and competitiveness and leverage their international advantage.

UR - http://link.springer.com/book/10.1007/978-3-319-25454-8/

U2 - 10.1007/978-3-319-25454-8

DO - 10.1007/978-3-319-25454-8

M3 - Chapter (peer-reviewed)

SN - 978-3319254524

SP - 137

EP - 143

BT - UK Success Stories in Industrial Mathematics

A2 - Aston, Philip

A2 - Mulholland, Anthony J.

A2 - Tant, Katherine M.M.

PB - Springer

ER -