Multiscale Thermodynamics-Informed Neural Networks (MuTINN) towards fast and frugal inelastic computation of woven composite structures

MEF Idrissi, F Praud, F Meraghni, F Chinesta… - Journal of the …, 2024 - Elsevier
The complex behavior of inelastic woven composites stems primarily from their inherent
heterogeneity. Achieving accurate predictions of their linear and nonlinear responses, while …

[HTML][HTML] Experimental and multi-scale investigation of the mechanical behavior of mechanically recycled glass fiber reinforced thermoplastic composites

SE Sekkal, F Meraghni, G Chatzigeorgiou… - Composites Part B …, 2023 - Elsevier
Fiber reinforced thermoplastic polymer composites have gained a lot of attention over the
past two decades, due to their excellent mechanical performance and their lightweight …

Multi-scale FE2 investigation of non linear rate dependent 3D composite structures accounting for fiber–matrix damage

H Oukfif, E Tikarrouchine, MA Louar… - Composite …, 2024 - Elsevier
In the present paper, a two-scale FE 2 technique based on periodic homogenization theory
is investigated to predict the macroscopic non-linear behavior of polymer matrix composite …

[HTML][HTML] FFT-based surrogate modeling of auxetic metamaterials with real-time prediction of effective elastic properties and swift inverse design

H Danesh, D Di Lorenzo, F Chinesta, S Reese… - Materials & Design, 2024 - Elsevier
Auxetic structures, known for their negative Poisson's ratio, exhibit effective elastic properties
heavily influenced by their underlying geometry and base material properties. While periodic …

Artificial neural network-based homogenization model for predicting multiscale thermo-mechanical properties of woven composites

M Li, B Wang, J Hu, G Li, P Ding, C Ji - International Journal of Solids and …, 2024 - Elsevier
In this study, we propose an efficient homogenization model based on the fast Fourier
transform (FFT) method and artificial neural network (ANN) models to predict the multiscale …

Investigation on anisotropic toughness and cracking behavior of woven lay-up Fiber Metal Laminates with two-level customized interfaces

M Liang, W Zhang, H Qian, X Zhuang, Z Zhao - Composites Science and …, 2024 - Elsevier
Interlaminar toughening for metal-polymer interfaces in woven lay-up Fiber Metal Laminates
(w-FMLs) is a critical concern, demanding isotropic mechanics and higher energy …

PGD based meta modelling of a lithium-ion battery for real time prediction

A Schmid, A Pasquale, C Ellersdorfer… - Frontiers in …, 2023 - frontiersin.org
Despite the existence of computationally efficient tools, the effort for parametric
investigations is currently high in industry. In this paper, within the context of Li-Ion batteries …

Microstructure generation and full-field multi-scale analyses for short fiber reinforced thermoplastics: Application to PA66GF composites

F Praud, K Schneider, G Chatzigeorgiou… - Composite Structures, 2024 - Elsevier
Abstract Short Fiber Reinforced Thermoplastics (SFRTs) like PA66GF composites are highly
heterogeneous materials with a rather complex microstructure such that the characterization …

[PDF][PDF] Harnessing Hybrid Digital Twinning for Decision-Support in Smart Infrastructures

H Liang, B Moya, E Seah, ANK Weng, D Baillargeat… - 2024 - engrxiv.org
Digital Twinning (DT) has become a main instrument for Industry 4.0 and the digital
transformation of manufacturing and industrial processes. In this statement paper, we …

Tribological performance of Cu-Gr-B4C hybrid composites prepared by powder metallurgy route

M Kumar, AK Singh, MK Singh… - … Journal of Surface …, 2024 - inderscienceonline.com
This research studies the tribological capabilities of copper-based self-lubricating hybrid
composites with different weights of graphite (Gr) and B4C reinforcements developed by the …