Quantification of shear strength in reinforced concrete beams using digital...

Archive ouverte: Article de revue

Nouri, Assia | 2020

Numerical analysis of shrinkage of steel fiber reinforced high-strength con...

Archive ouverte: Article de revue

Bouziadi, Farid | 2018

ACL. In this study, a numerical investigation is conducted to simulate the total shrinkage strain of High-Strength Concrete (HSC) and Steel Fiber Reinforced High-Strength concrete (SFRHSC) by means of the transient ...

Experimental and finite element analysis of shrinkage of concrete made with...

Archive ouverte: Article de revue

Bouziadi, Farid | 2020

Reading History of Science as a Physics and Mathematics Framework for Newto...

Archive ouverte: Communication dans un congrès

Pisano, Raffaele | 2017-04-19

International audience

On Mechanics and Thermodynamics Analogies in History of Physics-Mathematics...

Archive ouverte: Communication dans un congrès

Pisano, Raffaele | 2017-05-12

International audience

On the epistemic interplay between physics and mathematics such as a dynami...

Archive ouverte: Communication dans un congrès

Pisano, Raffaele | 2017-06-12

International audience

A CMOS Compatible Thermoelectric Device made of Crystalline Silicon Membran...

Archive ouverte: Article de revue

Bah, Thierno-Moussa | 2022-12-10

International audience. Herein, we report the use of nanostructured crystalline silicon as a thermoelectric material and its integration into thermoelectric devices. The proof-of-concept relies on the partial suppre...

Effet de l'angle de charge sur les harmoniques d'efforts magnétiques dans l...

Archive ouverte: Communication dans un congrès

Le Besnerais, Jean | 2016-06-07

International audience. Cet article étudie l'effet de l'angle de charge sur les efforts harmoniques de Maxwell (tangentiels et radiaux) et les bruits et vibrations d'origine magnétique dans deux machines synchrones ...

Further investigation of convolutional neural networks applied in computati...

Archive ouverte: Article de revue

Gong, Ruohan | 2022-04-07

International audience. Convolutional neural networks (CNN) have shown great potentials and have been proven to be an effective tool for some image-based deep learning tasks in the field of computational electromagn...