Omar A. Mures is an Instructor at Universidade da Coruña. His research interests include Artificial Intelligence, Computer Vision and Computer Graphics.
MEng in High Performance Computing, 2015
Universidade da Coruña
BSc in Computer Science, 2014
Universidade da Coruña
Aero-structural shape design and optimization of bridge decks rely on accurately estimating their self-excited aeroelastic forces within the design domain. The inherent nonlinear features of bluff body aerodynamics and the high cost of wind tunnel tests and computational fluid dynamics (CFD) simulations make their emulation as a function of deck shape and reduced velocity challenging. We propose a time domain emulation strategy harnessing temporal fusion transformers (TFTs) to predict the self-excited forces time series before their integration into FDs.
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