Name: Sabrina Kelbij Star
Date: February 15, 2021
This is an online event.
Development of reduced order modeling methods for incompres-sible flows with heat transfer and parametric boundary conditions
Complex fluid dynamics problems are usually solved numerically using discretization methods. However, the number of numerical simulations required for nuclear installations and other industrial applications is often beyond the capabilities of current hardware. This has stimulated the development of modeling techniques that reduce the number of degrees of freedom of the high fidelity fluid flow and heat transfer models. Mathematical techniques are used to extract “features” of the high fidelity models in order to replace them with a simpler model. In this way, the required computing time and computer memory usage is reduced. Despite the potential and increasing popularity of reduced order models, they tend to have issues with accuracy and exhibit numerical instabilities.
In this thesis, Kelbij focusses on the challenges related to the velocity-pressure coupling and imposing parametric boundary conditions at the reduced order level that make it difficult to generalize the methods.
SCK CEN mentors:
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