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Iuri B.C.M. Rocha

Delft University of Technology - Faculty of Civil Engineering and Geosciences

SCHOLARLY PAPERS

4

DOWNLOADS

149

TOTAL CITATIONS

6

Scholarly Papers (4)

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1.

Towards Practical Bayesian System Identification of Engineering Structures with Spatially Dense Measurements

Number of pages: 47 Posted: 25 Nov 2024 Last Revised: 25 Apr 2025
Andrés Martínez Colán, Arthur Slobbe, Árpád Rózsás, Iuri B.C.M. Rocha and Frans P. van der Meer
Department of Reliable Structures, TNO, Department of Building Materials and Structures, TNO, Department of Reliable Structures, TNO, Delft University of Technology - Faculty of Civil Engineering and Geosciences and Delft University of Technology - Faculty of Civil Engineering and Geosciences
Downloads 63 (933,592)

Abstract:

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Bayesian inference, Spatial correlation, Model discrepancy, Variational Bayesian Monte Carlo, Distributed fibre optic sensing, System Identification, structural health monitoring, Gaussian processes

2.

Predicting plastic strain localization in porous solids using graph neural networks

Number of pages: 33 Posted: 29 Nov 2025
Rasmus B. Jakobsen, Tobias S. Kristensen, Joep Storm, Iuri B.C.M. Rocha and Tito Andriollo
Aarhus University, Aarhus University, Delft University of Technology, Delft University of Technology - Faculty of Civil Engineering and Geosciences and Aarhus University
Downloads 51 (1,074,648)

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Surrogate modeling, Graph neural network, Plasticity, Heterogeneous material, Porous solid, Strain localisation, Multiscale

3.

Unifying Creep and Fatigue Modeling of Composites: A Time-Homogenized Micromechanical Framework with Viscoplasticity and Cohesive Damage

Number of pages: 37 Posted: 23 Jul 2024
Dragan Kovačević, Pieter Hofman, Iuri B.C.M. Rocha and Frans P. van der Meer
affiliation not provided to SSRN, affiliation not provided to SSRN, Delft University of Technology - Faculty of Civil Engineering and Geosciences and Delft University of Technology - Faculty of Civil Engineering and Geosciences
Downloads 18 (1,470,786)
Citation 2

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fatigue, creep, time homogenization, off-axis loading, thermoplastic composites

4.

Physically Recurrent Neural Networks for Computational Homogenization of Composite Materials with Microscale Debonding

Number of pages: 24 Posted: 24 Dec 2024
Nora Kovacs, Marina Maia, Iuri B.C.M. Rocha, Carolina Furtado, Pedro P. Camanho and Frans P. van der Meer
affiliation not provided to SSRN, affiliation not provided to SSRN, Delft University of Technology - Faculty of Civil Engineering and Geosciences, affiliation not provided to SSRN, Universidade do Porto and Delft University of Technology - Faculty of Civil Engineering and Geosciences
Downloads 17 (1,491,251)
Citation 4

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Multiscale modeling, machine learning, composite materials