Model Order Reduction of Turbulent Mixed Heat Transfer Problems by Projection Method
DOI:
https://doi.org/10.21152/1750-9548.14.3.301Abstract
Computational fluid dynamics modeling has been widely applied to study flow and heat transfer problems in nuclear engineering. However, due to the prohibitively high computation cost, fast or real-time solution of nontrivial problems is still a challenging task under context of many-quires. Model order reduction is an efficient way to achieve significant speedup. For the turbulent mixed heat transfer problems, the Proper Orthogonal Decomposition (POD)-Galerkin projection method is introduced and then applied to solve the problem of non-isothermal mixing in a T-junction pipe with the inlet velocities treated as parameters. It is shown that a speedup of two orders of magnitude has been achieved. For new parameters out of the scope of the samples, the reduced order model still can give satisfactory results.
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