A parametric metamodel of the vehicle frontal structure accounting for material properties and strain-rate effect: application to full frontal rigid barrier crash test
A Pasquale, V Champaney, Y Kim, N Hascoët… - Heliyon, 2022 - cell.com
In the automotive industry, building parametric surrogate models is a fundamental tool to
evaluate, in real time, the performance of newly designed car components. Such models …
evaluate, in real time, the performance of newly designed car components. Such models …
PGD based meta modelling of a lithium-ion battery for real time prediction
A Schmid, A Pasquale, C Ellersdorfer… - Frontiers in …, 2023 - frontiersin.org
Despite the existence of computationally efficient tools, the effort for parametric
investigations is currently high in industry. In this paper, within the context of Li-Ion batteries …
investigations is currently high in industry. In this paper, within the context of Li-Ion batteries …
Advanced Meta-Modeling framework combining Machine Learning and Model Order Reduction towards real-time virtual testing of woven composite laminates in …
This paper presents an advanced meta-modeling framework that efficiently combines
Machine Learning and Model Order Reduction (MOR) techniques for real-time virtual testing …
Machine Learning and Model Order Reduction (MOR) techniques for real-time virtual testing …
Data-driven parametric modelling of split-Hopkinson pressure bar tests on cohesive soils
Soil-filled wire and geotextile gabions stand as vital bulwarks in military bases, harnessing
soil's innate capacity to absorb shock and safeguard both personnel and critical assets from …
soil's innate capacity to absorb shock and safeguard both personnel and critical assets from …
Mechanical characterization of li-ion cells and the calibration of numerical models using proper generalized decomposition
A Schmid, A Pasquale… - ASME …, 2023 - asmedigitalcollection.asme.org
The behavior of lithium-ion cells under mechanical load is determined by both experiments
and simulations. Extensive experimental data are required for the calibration and validation …
and simulations. Extensive experimental data are required for the calibration and validation …
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 …