3D simulation of magneto-mechanical coupling in MRI scanners using high order FEM and POD 

    Seoane Chouciño, Marcos (Date of defense: 2020-07-15)

    Magnetic Resonance Imaging (MRI) scanners have become an essential tool in the medical industry due to their ability to produce high resolution images of the human body. To generate an image of the body, MRI scanners combine ...

    Adaptive low and high-order hybridized methods for unsteady incompressible flow simulations 

    Karkoulias, Alexandros (Date of defense: 2020-06-17)

    Simulations of incompressible flows are performed on a daily basis to solve problems of practical and industrial interest in several fields of engineering, including automotive, aeronautical, mechanical and biomedical ...

    Advanced physics-based and data-driven strategies 

    Ibáñez Pinillo, Rubén (Date of defense: 2019-09-02)

    Simulation Based Engineering Science (SBES) has brought major improvements in optimization, control and inverse analysis, all leading to a deeper understanding in many processes occuring in the real world. These noticeable ...

    Comparison and coupling of continuous and hybridizable discontinuous Galerkin methods : application to multi-physics problems 

    Paipuri, Mahendra (Date of defense: 2018-03-21)

    This thesis proposes a coupled continuous and hybridizable discontinuous Galerkin formulation to solve conjugate heat transfer problems. This model is then used to find the thermal response of Glass Fiber Reinforced Polymer ...

    Complexity reduction in parametric flow problems via Nonintrusive Proper Generalised Decomposition in OpenFOAM 

    Tsiolakis, Vasileios (Date of defense: 2020-01-31)

    The present thesis explores the viability of the proper generalised decomposition (PGD) as a tool for parametric studies in a daily industrial environment. Starting from the equations modelling incompressible flows, the ...

    Efficient simulation tools for real-time monitoring and control using model order reduction and data-driven techniques 

    Quaranta, Giacomo (Date of defense: 2019-09-02)

    Numerical simulation, the use of computers to run a program which implements a mathematical model for a physical system, is an important part of today technological world. It is required in many scientific and engineering ...

    Randomized linear algebra for model order reduction 

    Balabanov, Oleg (Date of defense: 2019-10-11)

    Solutions to high-dimensional parameter-dependent problems are in great demand in the contemporary applied science and engineering. The standard approximation methods for parametric equations can require computational ...

    Simulation tools for biomechanical applications with PGD-based reduced order models 

    Zou, Xi (Date of defense: 2018-03-12)

    Numerical simulation tools are generally used in all modern engineering fields, especially those having difficulties in performing large number of practical experiments, such as biomechanics. Among the computational methods, ...