Weakly-invasive LATIN-PGD for solving time-dependent non-linear parametrized problems in solid mechanics

R Scanff, D Néron, P Ladevèze, P Barabinot… - Computer Methods in …, 2022 - Elsevier
A weakly-invasive version of the LATIN-PGD method is introduced to compute reduced-
order models in solid mechanics for time-dependent non-linear parametrized problems …

A non-intrusive reduced order model for the characterisation of the spatial power distribution in large thermal reactors

N Abrate, S Dulla, N Pedroni - Annals of Nuclear Energy, 2023 - Elsevier
Large thermal reactors endowed with heavy reflectors are very sensitive to localised
perturbations. To adequately characterise the spatial effects of these localised disturbances …

An efficient reduced order model for nonlinear transient porous media flow with time-varying injection rates

SH Ardakani, G Zingaro, M Komijani… - Finite Elements in Analysis …, 2024 - Elsevier
Abstract An intrusive Reduced Order Model (ROM) is developed for nonlinear porous media
flow problems with transient and time-discontinuous fluid injection rates. The proposed ROM …

A hybrid numerical methodology coupling Reduced Order Modeling and Graph Neural Networks for non-parametric geometries: applications to structural dynamics …

V Matray, F Amlani, F Feyel, D Néron - arXiv preprint arXiv:2406.02615, 2024 - arxiv.org
This work introduces a new approach for accelerating the numerical analysis of time-domain
partial differential equations (PDEs) governing complex physical systems. The methodology …

Learning Projection-Based Reduced-Order Models

D Ryckelynck, F Casenave, N Akkari - Manifold Learning: Model …, 2024 - Springer
In this chapter, we introduce the solution space for high-fidelity models based on partial
differential equations and the finite element model. The manifold learning approach to …

An efficient reduced order model for nonlinear transient porous media flow with time-varying injection rates

S Hatefi Ardakani, G Zingaro, M Komijani, R Gracie - 2024 - dl.acm.org
Abstract An intrusive Reduced Order Model (ROM) is developed for nonlinear porous media
flow problems with transient and time-discontinuous fluid injection rates. The proposed ROM …

[HTML][HTML] A novel approach combining bootstrapped non-intrusive reduced order models and unscented transform for the robust and efficient CFD analysis of …

N Abrate, A Moscatello, G Ledda, N Pedroni… - Journal of Loss …, 2023 - Elsevier
The risk assessment for safety-critical, complex systems is a very challenging computational
problem when it is performed with high-fidelity models, eg CFD, like in the case of accidental …

Applications and Extensions: A Survey of Literature

D Ryckelynck, F Casenave, N Akkari - Manifold Learning: Model …, 2024 - Springer
This chapter contains a literature survey of the work published by the authors in the
timeframe of their collaboration, where the concepts presented in this book have been …

[图书][B] Manifold Learning: Model Reduction in Engineering

D Ryckelynck, F Casenave, N Akkari - 2024 - library.oapen.org
This Open Access book reviews recent theoretical and numerical developments in nonlinear
model order reduction in continuum mechanics, being addressed to Master and PhD …

Resources: Software and Tutorials

D Ryckelynck, F Casenave, N Akkari - Manifold Learning: Model …, 2024 - Springer
MORDICUS is the French acronym for “Méthodes d'Ordre RéDuIt Conçues pour des Usages
induStriels”, translated to “reduced-order methods designed for industrial usage”. It is the …