Scipediacontent: Scipediacontent moved page Draft Content 878111476 to Willis 2017a

2021-02-02T06:46:40Z

Scipediacontent moved page Draft Content 878111476 to Willis 2017a

Scipediacontent: Created page with " == 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..."

2021-02-02T06:46:35Z

Created page with " == 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..."

New page

== 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

== Full document ==
<pdf>Media:Draft_Content_878111476-beopen4660-6197-document.pdf</pdf>

== Original document ==

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

* [http://arxiv.org/abs/1705.03838 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://dx.doi.org/10.1016/j.softx.2017.05.003]

* [http://eprints.whiterose.ac.uk/116584/13/1-s2.0-S2352711017300158-main.pdf 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 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 http://www.sciencedirect.com/science/article/pii/S2352711017300158],
: [https://doaj.org/toc/2352-7110 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/xml],
: [https://api.elsevier.com/content/article/PII:S2352711017300158?httpAccept=text/plain https://api.elsevier.com/content/article/PII:S2352711017300158?httpAccept=text/plain],
: [http://dx.doi.org/10.1016/j.softx.2017.05.003 http://dx.doi.org/10.1016/j.softx.2017.05.003]

* [https://www.sciencedirect.com/science/article/pii/S2352711017300158 https://www.sciencedirect.com/science/article/pii/S2352711017300158],
: [https://www.arxiv.org/pdf/1705.03838 https://www.arxiv.org/pdf/1705.03838],
: [http://eprints.whiterose.ac.uk/116584 http://eprints.whiterose.ac.uk/116584],
: [http://ui.adsabs.harvard.edu/abs/2017SoftX...6..124W/abstract http://ui.adsabs.harvard.edu/abs/2017SoftX...6..124W/abstract],
: [https://www.arxiv.org/abs/1705.03838 https://www.arxiv.org/abs/1705.03838],
: [https://uk.arxiv.org/abs/1705.03838v2 https://uk.arxiv.org/abs/1705.03838v2],
: [https://core.ac.uk/display/145687857 https://core.ac.uk/display/145687857],
: [https://academic.microsoft.com/#/detail/2613855428 https://academic.microsoft.com/#/detail/2613855428] under the license https://www.elsevier.com/tdm/userlicense/1.0/

* [ ]

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Willis 2017a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 878111476 to Willis 2017a

Scipediacontent: Created page with " == 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..."