%0 Journal Article
%J Communications in Computational Physics
%D 2021
%T A novel iterative penalty method to enforce boundary conditions in Finite Volume POD-Galerkin reduced order models for fluid dynamics problems
%A Kelbij Star
%A Giovanni Stabile
%A Francesco Belloni
%A Gianluigi Rozza
%A Joris Degroote
%X A Finite-Volume based POD-Galerkin reduced order model is developed for fluid dynamic problems where the (time-dependent) boundary conditions are controlled using two different boundary control strategies: the control function method, whose aim is to obtain homogeneous basis functions for the reduced basis space and the penalty method where the boundary conditions are enforced in the reduced order model using a penalty factor. The penalty method is improved by using an iterative solver for the determination of the penalty factor rather than tuning the factor with a sensitivity analysis or numerical experimentation. The boundary control methods are compared and tested for two cases: the classical lid driven cavity benchmark problem and a Y-junction flow case with two inlet channels and one outlet channel. The results show that the boundaries of the reduced order model can be controlled with the boundary control methods and the same order of accuracy is achieved for the velocity and pressure fields. Finally, the speedup ratio between the reduced order models and the full order model is of the order 1000 for the lid driven cavity case and of the order 100 for the Y-junction test case.
%B Communications in Computational Physics
%I Global Science Press
%V 30
%P 34–66
%G eng
%R https://doi.org/10.4208/cicp.OA-2020-0059
%0 Conference Paper
%B International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019
%D 2019
%T POD-Galerkin Reduced Order Model of the Boussinesq Approximation for Buoyancy-Driven Enclosed Flows
%A Kelbij Star
%A Giovanni Stabile
%A Sokratia Georgaka
%A Francesco Belloni
%A Gianluigi Rozza
%A Joris Degroote
%B International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019
%@ 9780894487699
%G eng