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A regularised-adaptive Proper Generalised Decomposition implementation for coupled magneto-mechanical problems with application to MRI scanners

Author
Barroso, G.; Gil Ruiz, Antonio Javier; Ledger, P.; Mallett, M.; Huerta, A.
Type of activity
Journal article
Journal
Computer methods in applied mechanics and engineering
Date of publication
2020-01-01
Volume
358
First page
112640:1
Last page
112640:28
DOI
10.1016/j.cma.2019.112640
Project funding
Empowered decision-making in simulation-based engineering: advanced model reduction for real-time, inverse and optimization in industrial problems
Repository
http://hdl.handle.net/2117/178343 Open in new window
URL
https://www.sciencedirect.com/science/article/pii/S0045782519305249 Open in new window
Abstract
Latest developments in high-strength Magnetic Resonance Imaging (MRI) scanners with in-built high resolution, have dramatically enhanced the ability of clinicians to diagnose tumours and rare illnesses. However, their high-strength transient magnetic fields induce unwanted eddy currents in shielding components, which result in fast vibrations, noise, imaging artefacts and, ultimately, heat dissipation, boiling off the helium used to super-cool the magnets. Optimum MRI scanner design requires the...
Citation
Barroso, G. [et al.]. A regularised-adaptive Proper Generalised Decomposition implementation for coupled magneto-mechanical problems with application to MRI scanners. "Computer methods in applied mechanics and engineering", 1 Gener 2020, vol. 358, p. 112640:1-112640:28.
Keywords
MRI scanners, Magneto-mechanics, Medical imaging, Proper generalised decomposition, Real-time simulation, Reduced order methods
Group of research
LACÀN - Numerical Methods for Applied Sciences and Engineering

Participants