Publications

Applied AI

Journals

  • IBCM Rocha, P Kerfriden, FP van der Meer (2021). On-the-fly construction of surrogate constitutive models for concurrent multiscale mechanical analysis through probabilistic machine learning. Journal of Computational Physics: X 9:100083.
     
  • IBCM Rocha, P Kerfriden, FP van der Meer (2020). Micromechanics-based surrogate models for the response of composites: A critical comparison between a classical mesoscale constitutive model, hyper-reduction and neural networks. European Journal of Mechanics A/Solids 82:103995
     
  • IBCM Rocha, FP van der Meer, LAT Mororo, LJ Sluys (2020). Accelerating crack growth simulations through adaptive model order reduction. International Journal for Numerical Methods in Engineering 121(10):2147-2173
     
  • IBCM Rocha, FP van der Meer, LJ Sluys (2020). An adaptive domain-based POD/ECM hyper-reduced modeling framework without offline training. Computer Methods in Applied Mechanics and Engineering 358:112650
     
  • IBCM Rocha, FP van der Meer, LJ Sluys (2019). Efficient micromechanical analysis of fiber-reinforced composites subjected to cyclic loading through time homogenization and reduced-order modeling. Computer Methods in Applied Mechanics and Engineering 345:644-670

Conference Abstracts & Proceedings

  • IBCM Rocha, P Kerfriden, FP van der Meer (2021). On-the-fly learning of evolving physics-based material models for concurrent multiscale simulations through state-space modeling with gaussian process dynamics. In: Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology, San Diego, United States.
     
  • IBCM Rocha, P Kerfriden, FP van der Meer (2021). Comparing Acceleration Techniques for FE2: Classic Mesoscale Modeling, Black-Box Data-Driven Modeling and Physics-Informed Hyper-Reduction. In: 8th Conference on Mechanical Response of Composites, Gothenburg, Sweden.
     
  • IBCM Rocha, P Kerfriden, FP van der Meer (2020). Surrogate models for FE2: classic mesoscale modeling, black-box data-driven modeling and physics-informed subspace projection. In: 14th World Congress in Computational Mechanics, Paris, France.
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