Publications

Engineering Sciences

Approches expérimentales pour la mesure de propriétés de cisaillement hors plan de l'âme d'un composite C/C 3D à architecture sandwich

In this paper, we will introduce two different approaches to the measurement of the out-of-plane core shear properties of a C/C sandwich architectured material. The core of the sandwich is hollow and crossed by densified fibres beams which link both…

Valentin Iallonardi, Baranger Emmanuel, Hortense Laeuffer, Christophe Cluzel

Journée Nationale sur les Composites 2023 - 2023

Mechanics of materials

Caractérisation expérimentale des jonctions composites thermoplastiques surmoulées fibres courtes sur fibres longues

CETIM has proposed a novel composite manufacturing process called Quilted Stratum Process (QSP). It consists in thermoforming thermoplastic composite parts made of long fiber laminate sheets, then overmolding structural elements (injection…

Xiaofei Song, Federica Daghia, Christophe Cluzel, Yannick Elie

JNC23 : Journées Nationales sur les Composites 2023 - 2023

Engineering Sciences

Use of physics-augmented neural networks for unsupervised learning of material constitutive relations - Comparison of the NN-Euclid and NN-mCRE methods

Edgar Zembra, Antoine Benady, Emmanuel Baranger, Ludovic Chamoin

Material chemistry

Heterogeneity in tribologically transformed structure (TTS) of Ti–6Al–4V under fretting

Fretting wear is a surface degradation process caused by oscillatory motion and contact slipping. During gross slip, high local stresses and plastic deformation in the surface and subsurface can lead to the creation of a nanosized grained structure…

Vivien Lefranc, Soha Baydoun, Camille Gandiolle, Eva Héripré, Maxime Vallet, Siegfried Fouvry, Véronique Aubin

Wear - 2023

Engineering Sciences

Advantages and promises of deep neural operators for the prediction of wave propagation

Physics-based deep learning experienced a major breakthrough a few years ago with the advent of neural operators. Beyond the traditional use of deep neural networks to predict the solution to a fixed Partial Differential Equation (PDE), these novel…

Fanny Lehmann, Filippo Gatti, Michaël Bertin, Didier Clouteau

Engineering Sciences

Hybrid generation based on machine learning to enhance numerical simulation for earthquake

In the last decades, geophysicists have developed numerical simulators to predict earthquakes and other natural catastrophes. However, the more precise the model is, the higher the computational burden and the time to results. In addition, even if…

Gottfried Jacquet, Didier Clouteau, Filippo Gatti

Engineering Sciences

Fourier Neural Operator Surrogate Model to Predict 3D Seismic Waves Propagation

With the recent rise of neural operators, scientific machine learning offers new solutions to quantify uncertainties associated with high-fidelity numerical simulations. Traditional neural networks, such as Convolutional Neural Networks (CNN) or…

Fanny Lehmann, Filippo Gatti, Michaël Bertin, Didier Clouteau

Engineering Sciences

Multi-storey shear type buildings under earthquake loading: Adversarial learning-based prediction of the transient dynamics and damage classification

In this paper, the transient dynamic response of shear type multi-storey buildings subjected to earthquake ground motion is generated via adversarial learning technique under different damage conditions, starting from the relevant undamaged…

Filippo Gatti, Luca Rosafalco, Giorgia Colombera, Stefano Mariani, Alberto Corigliano

Soil Dynamics and Earthquake Engineering - 2023

Engineering Sciences

Alignment of 3D woven textile composites towards their ideal configurations

The objective of the present study is to create a parametric model of an ideal 3D woven textile from a computed tomography at mesoscale without prior knowledge of the fabric architecture. The model is constructed by identifying a minimal number of…

Marcello Rubino, Arturo Mendoza, Yanneck Wielhorski, Keerthi Krishna Parvathaneni, Stéphane Roux

Computer Methods in Applied Mechanics and Engineering - 2023

Cardiology and cardiovascular system

Mechanistic insights on age-related changes in heart-aorta-brain hemodynamic coupling using a pulse wave model of the entire circulatory system

We investigated the impact of major aging mechanisms of the arterial system and cardiac function on brain hemodynamics. Our findings suggest that aging has a significant impact on heart-aorta-brain coupling through changes in both arterial…

Arian Aghilinejad, Faisal Amlani, Sohrab Mazandarani, Kevin King, Niema Pahlevan

AJP - Heart and Circulatory Physiology - 2023