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Scalable computation of thermomechanical turbomachinery problems
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...
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Published in: | Finite elements in analysis and design 2019-03, Vol.155, p.32-42 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | 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(107) to O(109) 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.
•Demonstrates that complex turbomachinery thermomechanical problems can be solved scalably.•Provides a key ingredient for the push towards systems level, whole engine simulations.•Explains via complexity analysis why efforts to improve direct solvers cannot succeed.•Explains the necessary mathematical properties for a finite element solver for thermomechanical problems to be scalable, which will help practitioners.•Provides proof and concept and viability of extreme scale simulation which will justify new research into specific topics. |
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ISSN: | 0168-874X 1872-6925 |
DOI: | 10.1016/j.finel.2018.11.002 |