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Supervised Deep Learning with Finite Element simulations for damage identification in bridges
(Elsevier, 2022-04-15)
[EN] 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 ...
Bearing Assessment Tool for Longitudinal Bridge Performance
(Springer, 2020-11)
This work provides an unsupervised learning approach based on a single-valued performance indicator to monitor the global behavior of critical components in a viaduct, such as bearings. We propose an outlier detection ...
Optimally refined isogeometric analysis
(Elsevier, 2017)
Performance of direct solvers strongly depends upon the employed discretization method. In particular, it is possible to improve the performance of solving Isogeometric Analysis (IGA) discretizations by introducing multiple ...