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Solving generalized eigenvalue problems for large scale fluid-structure computational models with mid-power computers
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DOI：10.1016/j.compstruc.2018.04.007.png)
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摘要
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This article proposes a method for solving generalized eigenvalue problems on medium-power computers with a moderate memory in the particular context of studying fluid-structure systems with sloshing and capillarity. This research was performed following many RAM problems encountered when computing the modal characterization of the system studied. The methodology proposed is one solution to reduce RAM and time required for the computation, by using methods such as double projection or subspace iterations. (C) 2018 Elsevier Ltd. All rights reserved.
Keyword:
Generalized eigenvalue problem
Large scale computational models
Algorithms
Fluid-structure
Structure
Acoustic
Sloshing
Capillarity
Reduced-order model
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