Ask, Anna Forest, Samuel Appolaire, Benoît Ammar, Kais
Published in
Advanced Modeling and Simulation in Engineering Sciences
Formulating appropriate simulation models that capture the microstructure evolution at the mesoscale in metals undergoing thermomechanical treatments is a formidable task. In this work, an approach combining higher-order dislocation density based crystal plasticity with a phase-field model is used to predict microstructure evolution in deformed pol...
Daniel, Thomas Casenave, Fabien Akkari, Nissrine Ryckelynck, David
Published in
Advanced Modeling and Simulation in Engineering Sciences
In this paper, we propose a general framework for projection-based model order reduction assisted by deep neural networks. The proposed methodology, called ROM-net, consists in using deep learning techniques to adapt the reduced-order model to a stochastic input tensor whose nonparametrized variabilities strongly influence the quantities of interes...
Rocha, I.B.C.M. Kerfriden, P. Van Der Meer, F.P.
Although being a popular approach for the modeling of laminated composites, mesoscale constitutive models often struggle to represent material response for arbitrary load cases. A better alternative in terms of accuracy is to use the FE 2 technique to upscale microscopic material behavior without loss of generality , but the associated computationa...
Bonnabel, Silvere Barrau, Axel
To fuse information from inertial measurement units (IMU) with other sensors one needs an accurate model for IMU error propagation in terms of position, velocity and orientation, a triplet we call extended pose. In this paper we leverage a nontrivial result, namely log-linearity of inertial navigation equations based on the recently introduced Lie ...
Brossard, Martin Barrau, Axel Bonnabel, Silvere
The present paper introduces a novel methodology for Unscented Kalman Filtering (UKF) on manifolds that extends previous work by the authors on UKF on Lie groups. Beyond filtering performance, the main interests of the approach are its versatility, as the method applies to numerous state estimation problems, and its simplicity of implementation for...
Teepker, M. Peters, M. Vedder, H. Schepelmann, K. Lautenbacher, S.
Published in
Neuropsychobiology
Background: The results of studies examining the response to experimental pain during the menstrual cycle are conflicting because of differences in the definitions of the menstrual period, outcome measures and types of experimental pain stimulation. So far, there have been only a few studies correlating experimental pain with the levels of gonadal ...
Rollet, Nicolas Clavel, Chloé
International audience
Vuagnat, Perrine Frelaut, Maxime Ramtohul, Toulsie Basse, Clémence Diakité, Sarah Noret, Aurélien Bellesoeur, Audrey Servois, Vincent Héquet, Delphine Laas, Enora
...
Lévêque, Jérémy Levillain, Kevin Segrestin, Blanche
Evolutions in corporate law recently introduced an optional commitment mechanism in the corporate contract: a purpose. Its writing is a pivotal but is yet puzzling from a design perspective. Especially it raises questions about how that could help shaping a responsible governance model for innovation. Our paper builds on an extended-decision framew...
Deval, Marie-Alix Hooge, Sophie Weil, Benoit
International audience
