[HTML][HTML] A time multiscale based data-driven approach in cyclic elasto-plasticity
Within the framework of computational plasticity, recent advances show that the quasi-static
response of an elasto-plastic structure under cyclic loadings may exhibit a time multiscale …
response of an elasto-plastic structure under cyclic loadings may exhibit a time multiscale …
A hybrid twin based on machine learning enhanced reduced order model for real-time simulation of magnetic bearings
C Ghnatios, S Rodriguez, J Tomezyk, Y Dupuis… - Advanced Modeling and …, 2024 - Springer
The simulation of magnetic bearings involves highly non-linear physics, with high
dependency on the input variation. Moreover, such a simulation is time consuming and can't …
dependency on the input variation. Moreover, such a simulation is time consuming and can't …
First Steps in Probabilistic Hybrid Twin Extrapolation Based on Nonparametric Probabilistic Method and Machine Learning Algorithms
C Ghnatios - 2023 Fifth International Conference on Advances …, 2023 - ieeexplore.ieee.org
With emerging mechanical engineering applications on a daily basis, the incorporation of
data into models and data-driven modeling are subjected to constant improvement …
data into models and data-driven modeling are subjected to constant improvement …
Advanced model order reduction and data-driven technologies enabling physics-augmented digital twins
V Champaney - 2023 - pastel.hal.science
In the 20th century, engineering made remarkable strides in various fields, while other
disciplines turned to data for diagnostic and prognostic purposes. Recognizing the potential …
disciplines turned to data for diagnostic and prognostic purposes. Recognizing the potential …
Correction: Ghnatios et al. A Regularized Real-Time Integrator for Data-Driven Control of Heating Channels. Computation 2022, 10, 176
Computation | Free Full-Text | Correction: Ghnatios et al. A Regularized Real-Time
Integrator for Data-Driven Control of Heating Channels. Computation 2022, 10, 176 Next …
Integrator for Data-Driven Control of Heating Channels. Computation 2022, 10, 176 Next …