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ORCIDF. P. van der Meer 0001
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- affiliation: Delft University of Technology, Faculty of Civil Engineering and Geosciences, The Netherlands
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Journal Articles
- 2024
[j3]Anne Poot, Pierre Kerfriden, Iuri Rocha, Frans Paul van der Meer
:
A Bayesian approach to modeling finite element discretization error. Stat. Comput. 34(5): 167 (2024)- 2021
- [j2]Iuri B. C. M. Rocha, Pierre Kerfriden, F. P. van der Meer:
On-the-fly construction of surrogate constitutive models for concurrent multiscale mechanical analysis through probabilistic machine learning. J. Comput. Phys. X 9: 100083 (2021) - [j1]Luiz A. T. Mororó, F. P. van der Meer:
Parallel Computing with the Thick Level Set Method. SIAM J. Sci. Comput. 43(6): C386-C410 (2021)
Informal and Other Publications
- 2024
- [i8]J. Storm, Iuri B. C. M. Rocha, F. P. van der Meer:
A Microstructure-based Graph Neural Network for Accelerating Multiscale Simulations. CoRR abs/2402.13101 (2024) - [i7]P. Hofman, F. P. van der Meer, Lambertus J. Sluys:
Modeling of progressive high-cycle fatigue in composite laminates accounting for local stress ratios. CoRR abs/2403.05356 (2024) - [i6]M. A. Maia, Iuri B. C. M. Rocha, D. Kovacevic, F. P. van der Meer:
Physically recurrent neural network for rate and path-dependent heterogeneous materials in a finite strain framework. CoRR abs/2404.17583 (2024) - [i5]N. Kovács, M. A. Maia, Iuri B. C. M. Rocha, C. Furtado, Pedro P. Camanho, F. P. van der Meer:
Physically Recurrent Neural Networks for Computational Homogenization of Composite Materials with Microscale Debonding. CoRR abs/2410.13774 (2024) - 2023
- [i4]Iuri B. C. M. Rocha, Pierre Kerfriden, F. P. van der Meer:
Machine learning of evolving physics-based material models for multiscale solid mechanics. CoRR abs/2301.13547 (2023) - [i3]Pieter Hofman, Frans Paul van der Meer, Lambertus Johannes Sluys:
A numerical framework for simulating progressive failure in composite laminates under high-cycle fatigue loading. CoRR abs/2309.13030 (2023) - 2022
- [i2]M. A. Maia, Iuri B. C. M. Rocha, Pierre Kerfriden, F. P. van der Meer:
Physically recurrent neural networks for path-dependent heterogeneous materials: embedding constitutive models in a data-driven surrogate. CoRR abs/2209.07320 (2022) - 2020
- [i1]Iuri B. C. M. Rocha, Pierre Kerfriden, F. P. van der Meer:
On-the-fly construction of surrogate constitutive models for concurrent multiscale mechanical analysis through probabilistic machine learning. CoRR abs/2007.07749 (2020)
Coauthor Index
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last updated on 2024-12-10 21:42 CET by the dblp team
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