2 citations · 4 across the 12 of their papers we have counts for
12 papers
A plausible Parametrization of Modal Basis for Dynamical Systems Analysis
Sebastian Rodriguez, Sergio Torregrosa, Alicia Cordero +3
In the field of solid dynamics, knowing the corresponding modal basis of the system is capital, in order to improve design with respect to a desired dynamical behavior, such as avo…
CRADIPOR: Crash Dispersion Predictor
Edgar Chaillou, Sebastian Rodriguez, Yves Tourbier +1
We present CRADIPOR, a numerical dispersion prediction tool for automotive crash simulations. Finite Element (FE) crash models are widely used throughout vehicle development, but t…
Data-driven discovery of roughness descriptors for surface characterization and intimate contact modeling of unidirectional composite tapes
Sebastian Rodriguez, Mikhael Tannous, Jad Mounayer +3
Unidirectional tapes surface roughness determines the evolution of the degree of intimate contact required for ensuring the thermoplastic molecular diffusion and the associated int…
ADIOSS Automatic Diagnostic Of System Simulations
Di Jiang, Sebastian Rodriguez, Herve Colin +2
Automotive engineering makes extensive use of numerical simulation throughout the design process. The development of numerical models, their validation against experimental tests,…
Rank Reduction AutoEncoders for Mechanical Design: Advancing Novel and Efficient Data-Driven Topology Optimization
Ismael Ben-Yelun, Mohammed El Fallaki Idrissi, Jad Mounayer +2
This work presents a data-driven framework for fast forward and inverse analysis in topology optimization (TO) by combining Rank Reduction Autoencoders (RRAEs) with neural latent-s…
Generative Parametric Design (GPD): A framework for real-time geometry generation and on-the-fly multiparametric approximation
Mohammed El Fallaki Idrissi, Jad Mounayer, Sebastian Rodriguez +2
This paper presents a novel paradigm in simulation-based engineering sciences by introducing a new framework called Generative Parametric Design (GPD). The GPD framework enables th…
RRAEDy: Adaptive Latent Linearization of Nonlinear Dynamical Systems
Jad Mounayer, Sebastian Rodriguez, Jerome Tomezyk +2
Most existing latent-space models for dynamical systems require fixing the latent dimension in advance, they rely on complex loss balancing to approximate linear dynamics, and they…
Application of Reduced-Order Models for Temporal Multiscale Representations in the Prediction of Dynamical Systems
Elias Al Ghazal, Jad Mounayer, Beatriz Moya +3
Modeling and predicting the dynamics of complex multiscale systems remains a significant challenge due to their inherent nonlinearities and sensitivity to initial conditions, as we…
Machine Learning (ML) based Reduced Order Modeling (ROM) for linear and non-linear solid and structural mechanics
Mikhael Tannous, Chady Ghnatios, Eivind Fonn +2
Multiple model reduction techniques have been proposed to tackle linear and non linear problems. Intrusive model order reduction techniques exhibit high accuracy levels, however, t…
Single Atom Convolutional Matching Pursuit: Theoretical Framework and Application to Lamb Waves based Structural Health Monitoring
Sebastian Rodriguez, Marc Rébillat, Shweta Paunikar +4
Structural Health Monitoring (SHM) aims to monitor in real time the health state of engineering structures. For thin structures, Lamb Waves (LW) are very efficient for SHM purposes…
A reduced simulation applied to viscoelastic fatigue of polymers using a time multi-scale approach based on Partition of Unity method
Sebastian Rodriguez, Angelo Pasquale, Jad Mounayer +5
The simulation of viscoelastic time-evolution problems described by a large number of internal variables and with a large spectrum of relaxation times requires high computational r…
Rank Reduction Autoencoders
Jad Mounayer, Sebastian Rodriguez, Chady Ghnatios +2
The choice of an appropriate bottleneck dimension and the application of effective regularization are both essential for Autoencoders to learn meaningful representations from unlab…