2 citations · 4 across the 12 of their papers we have counts for
6 papers · 1 filter
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…
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,…
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…
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…