Scalable computation of thermomechanical turbomachinery problems
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Authors
Richardson, CN
Sime, N
Wells, GN
Publication Date
2019Journal Title
Finite Elements in Analysis and Design
ISSN
0168-874X
Publisher
Elsevier BV
Volume
155
Pages
32-42
Type
Article
This Version
AM
Metadata
Show full item recordCitation
Richardson, C., Sime, N., & Wells, G. (2019). Scalable computation of thermomechanical turbomachinery problems. Finite Elements in Analysis and Design, 155 32-42. https://doi.org/10.1016/j.finel.2018.11.002
Abstract
A commonly held view in the turbomachinery community is that finite element
methods are not well-suited for very large-scale thermomechanical simulations.
We seek to dispel this notion by presenting performance data for a collection
of realistic, large-scale thermomechanical simulations. We describe the
necessary technology to compute problems with $O(10^7)$ to $O(10^9)$
degrees-of-freedom, and emphasise what is required to achieve near linear
computational complexity with good parallel scaling. Performance data is
presented for turbomachinery components with up to 3.3 billion
degrees-of-freedom. The software libraries used to perform the simulations are
freely available under open source licenses. The performance demonstrated in
this work opens up the possibility of system-level thermomechanical modelling,
and lays the foundation for further research into high-performance formulations
for even larger problems and for other physical processes, such as contact,
that are important in turbomachinery analysis.
Keywords
Finite element analysis, Multigrid, Parallel computing, Thermomechanical modelling, Turbomachinery
Sponsorship
The support of Mitsubishi Heavy Industries is gratefully acknowledged. CNR is supported by EPSRC Grant EP/N018877/1.
Identifiers
External DOI: https://doi.org/10.1016/j.finel.2018.11.002
This record's URL: https://www.repository.cam.ac.uk/handle/1810/287213
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Licence URL: https://creativecommons.org/licenses/by-nc-nd/4.0/
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