Latest revision as of 07:46, 2 February 2021

Abstract

Pipelines are used in a huge range of industrial processes involving fluids, and the ability to accurately predict properties of the flow through a pipe is of fundamental engineering importance. Armed with parallel MPI, Arnoldi and Newton--Krylov solvers, the Openpipeflow code can be used in a range of settings, from large-scale simulation of highly turbulent flow, to the detailed analysis of nonlinear invariant solutions (equilibria and periodic orbits) and their influence on the dynamics of the flow.

Comment: 5 pages, 4 figure

Document type: Article

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The different versions of the original document can be found in:

• http://arxiv.org/abs/1705.03838 under the license http://creativecommons.org/licenses/by/4.0

• http://dx.doi.org/10.1016/j.softx.2017.05.003

• http://eprints.whiterose.ac.uk/116584/13/1-s2.0-S2352711017300158-main.pdf under the license http://creativecommons.org/licenses/by/4.0

• https://doi.org/10.1016/j.softx.2017.05.003 under the license http://creativecommons.org/licenses/by/4.0

• http://www.sciencedirect.com/science/article/pii/S2352711017300158,

https://doaj.org/toc/2352-7110 under the license cc-by-nc-nd

• https://api.elsevier.com/content/article/PII:S2352711017300158?httpAccept=text/xml,

https://api.elsevier.com/content/article/PII:S2352711017300158?httpAccept=text/plain,

http://dx.doi.org/10.1016/j.softx.2017.05.003

• https://www.sciencedirect.com/science/article/pii/S2352711017300158,

https://www.arxiv.org/pdf/1705.03838,

http://eprints.whiterose.ac.uk/116584,

http://ui.adsabs.harvard.edu/abs/2017SoftX...6..124W/abstract,

https://www.arxiv.org/abs/1705.03838,

https://uk.arxiv.org/abs/1705.03838v2,

https://core.ac.uk/display/145687857,

https://academic.microsoft.com/#/detail/2613855428 under the license https://www.elsevier.com/tdm/userlicense/1.0/

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