A short review on model order reduction based on proper generalized decomposition

F Chinesta, P Ladeveze, E Cueto - Archives of Computational Methods in …, 2011 - Springer
This paper revisits a new model reduction methodology based on the use of separated
representations, the so called Proper Generalized Decomposition—PGD. Space and time …

PGD-Based Computational Vademecum for Efficient Design, Optimization and Control

F Chinesta, A Leygue, F Bordeu, JV Aguado… - … methods in Engineering, 2013 - Springer
In this paper we are addressing a new paradigm in the field of simulation-based engineering
sciences (SBES) to face the challenges posed by current ICT technologies. Despite the …

The latin multiscale computational method and the proper generalized decomposition

P Ladevèze, JC Passieux, D Néron - Computer Methods in Applied …, 2010 - Elsevier
The LATIN multiscale computational method and the Proper Generalized Decomposition -
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Non-overlapping domain decomposition methods in structural mechanics

P Gosselet, C Rey - Archives of computational methods in engineering, 2006 - Springer
The modern design of industrial structures leads to very complex simulations characterized
by nonlinearities, high heterogeneities, tortuous geometries... Whatever the modelization …

[PDF][PDF] Model order reduction

F Chinesta, A Huerta, G Rozza… - Encyclopedia of …, 2016 - ww2.lacan.upc.edu
This chapter presents an overview of Model Order Reduction–a new paradigm in the field of
simulationbased engineering sciences, and one that can tackle the challenges and leverage …

Model reduction methods

F Chinesta, A Huerta, G Rozza… - Encyclopedia of …, 2017 - Wiley Online Library
This chapter presents an overview of model order reduction–a new paradigm in the field of
simulation‐based engineering sciences, and one that can tackle the challenges and …

Proper generalized decomposition for multiscale and multiphysics problems

D Néron, P Ladevèze - Archives of Computational Methods in …, 2010 - Springer
This paper is a review of the developments of the Proper Generalized Decomposition (PGD)
method for the resolution, using the multiscale/multiphysics LATIN method, of the nonlinear …

A highly efficient multi-scale approach of locally refined nonlinear analysis for large composite structures

S Li, Y Mao, W Liu, S Hou - Composite Structures, 2023 - Elsevier
The behaviour of materials at the microscale is generally considered the main driver for the
macroscopic response. However, it is still a great challenge in terms of computational cost …

A manifold learning approach for integrated computational materials engineering

E Lopez, D Gonzalez, JV Aguado… - … Methods in Engineering, 2018 - Springer
Image-based simulation is becoming an appealing technique to homogenize properties of
real microstructures of heterogeneous materials. However fast computation techniques are …

Pore network extraction using geometrical domain decomposition

A Rabbani, P Mostaghimi, RT Armstrong - Advances in water resources, 2019 - Elsevier
Advancement of X-ray micro-computed tomography (micro-CT) imaging technologies
demands more efficient numerical methods that are capable of handling huge 3D images of …