Publications (19) ANGEL JAVIER OMELLA MILIAN publications

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2025

  1. Deep neural network for damage detection in Infante Dom Henrique bridge using multi-sensor data

    Structural Health Monitoring, Vol. 24, Núm. 1, pp. 372-401

2024

  1. r-Adaptive deep learning method for solving partial differential equations

    Computers and Mathematics with Applications, Vol. 153, pp. 33-42

2023

  1. Bridge damage identification under varying environmental and operational conditions combining Deep Learning and numerical simulations

    Mechanical Systems and Signal Processing, Vol. 200

2022

  1. A Finite Element based Deep Learning solver for parametric PDEs

    Computer Methods in Applied Mechanics and Engineering, Vol. 391

  2. A MULTI-PHYSICS APPROACH FOR MINIMISING MOTOR LOSSES ON THE WLTP DRIVING CYCLE

    IET Conference Proceedings

  3. Deep learning enhanced principal component analysis for structural health monitoring

    Structural Health Monitoring, Vol. 21, Núm. 4, pp. 1710-1722

  4. On quadrature rules for solving Partial Differential Equations using Neural Networks

    Computer Methods in Applied Mechanics and Engineering, Vol. 393

  5. Supervised Deep Learning with Finite Element simulations for damage identification in bridges

    Engineering Structures, Vol. 257

  6. r−adaptive meshes using Deep Neural Networks for solving Partial Differential Equations

    Congress on Numerical Methods in Engineering CMN 2022 (2022. Las Palmas de Gran Canaria)

2021

  1. A simulation method for the computation of the effective P-wave velocity in heterogeneous rocks

    Computational Mechanics, Vol. 67, Núm. 3, pp. 845-865

  2. Modeling extra-deep electromagnetic logs using a deep neural network

    Geophysics, Vol. 86, Núm. 3, pp. E269-E281

  3. Sensitivity and uncertainty analysis by discontinuous Galerkin of lock-in thermography for crack characterization

    Computer Methods in Applied Mechanics and Engineering, Vol. 373

  4. Uncertainty Quantification on the Inversion of Geosteering Measurements using Deep Learning

    3rd EAGE/SPE Geosteering Workshop

2015

  1. Advances in Crack Characterization by Lock-In Infrared Thermography

    International Journal of Thermophysics, Vol. 36, Núm. 5-6, pp. 1202-1207

  2. Discontinuous Galerkin method applied to photothermal inspection of cracked materials

    Thirteenth international conference Zaragoza-Pau on mathematics and its applications. Proceedings of the conference, Jaca, Spain, September 17–18, 2014

2014

  1. Vertical cracks characterization using lock-in thermography: I infinite cracks

    Measurement Science and Technology, Vol. 25, Núm. 11

  2. Vertical cracks characterization using lock-in thermography: II Finite cracks

    Measurement Science and Technology, Vol. 25, Núm. 11

2011

  1. Resolución del problema inverso para la determinación de potencias acústicas de fuentes industriales a partir de medidas de nivel de presión y del modelo acústico de la planta industrial. Parte I: Planteamiento y método de resolución

    Tecniacústica 2011: publicación oficial del congreso : 42 Congreso Español de Acústica ; Encuentro Ibérico de Acústica ; EAA European Symposium on Environmental Acoustics and on Buildings Acoustically Sustainable : Cáceres, 26-28 Octubre 2011

  2. Resolución del problema inverso para la determinación de potencias acústicas de fuentes industriales a partir de medidas de nivel de presión y del modelo acústico de la planta industrial. Parte II: Aplicación a un caso real

    Tecniacústica 2011: publicación oficial del congreso : 42 Congreso Español de Acústica ; Encuentro Ibérico de Acústica ; EAA European Symposium on Environmental Acoustics and on Buildings Acoustically Sustainable : Cáceres, 26-28 Octubre 2011