Browsing by Author "Omella, Ángel J."
Now showing items 1-3 of 3
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Deep learning enhanced principal component analysis for structural health monitoring
Fernandez-Navamuel, A.
; Magalhães, Filipe; Zamora-Sánchez, Diego; Omella, Ángel J.; Garcia-Sanchez, David; Pardo, D. (2022-01-01)
This paper proposes a Deep Learning Enhanced Principal Component Analysis (PCA) approach for outlier detection to assess the structural condition of bridges. We employ partially explainable autoencoder architecture to ... -
On quadrature rules for solving Partial Differential Equations using Neural Networks
Rivera, J.A; Taylor, J.M.; Omella, Ángel J.; Pardo, D. (2022-04-01)
Neural Networks have been widely used to solve Partial Differential Equations. These methods require to approximate definite integrals using quadrature rules. Here, we illustrate via 1D numerical examples the quadrature ... -
Supervised Deep Learning with Finite Element simulations for damage identification in bridges
Fernandez-Navamuel, A.; Zamora-Sánchez, Diego; Omella, Ángel J.; Pardo, D.; Garcia-Sanchez, David; Magalhães, Filipe (2022-04-15)
This work proposes a supervised Deep Learning approach for damage identification in bridge structures. We employ a hybrid methodology that incorporates Finite Element simulations to enrich the training phase of a Deep ...