81 citations · 87 across the 10 of their papers we have counts for
3 papers · 1 filter
Uncertainty Quantification in Multiscale Modeling of Polymer Composite Materials Using Physically Recurrent Neural Networks
N. Kovács, I. B. C. M. Rocha, F. P. van der Meer +2
This study investigates whether Physically Recurrent Neural Networks (PRNNs), a recent surrogate model for heterogeneous materials, trained on a micromodel with fixed material para…
Multiscale Analysis of Woven Composites Using Hierarchical Physically Recurrent Neural Networks
Ehsan Ghane, Marina A. Maia, Iuri B. C. M. Rocha +2
Multiscale homogenization of woven composites requires detailed micromechanical evaluations, leading to high computational costs. Data-driven surrogate models based on neural netwo…
Surrogate-based multiscale analysis of experiments on thermoplastic composites under off-axis loading
M. A. Maia, I. B. C. M. Rocha, D. Kovačević +1
In this paper, we present a surrogate-based multiscale approach to model constant strain-rate and creep experiments on unidirectional thermoplastic composites under off-axis loadin…