75 citations · 282 across the 9 of their papers we have counts for
9 papers
Review and Recent Developments on the Perfectly Matched Layer (PML) Method for the Numerical Modeling and Simulation of Elastic Wave Propagation in Unbounded Domains
Florent Pled, Christophe Desceliers
This review article revisits and outlines the perfectly matched layer (PML) method and its various formulations developed over the past 25 years for the numerical modeling and simu…
A robust solution of a statistical inverse problem in multiscale computational mechanics using an artificial neural network
Florent Pled, Christophe Desceliers, Tianyu Zhang
This work addresses the inverse identification of apparent elastic properties of random heterogeneous materials using machine learning based on artificial neural networks. The prop…
Robust Multiscale Identification of Apparent Elastic Properties at Mesoscale for Random Heterogeneous Materials with Multiscale Field Measurements
Tianyu Zhang, Florent Pled, Christophe Desceliers
The aim of this work is to efficiently and robustly solve the statistical inverse problem related to the identification of the elastic properties at both macroscopic and mesoscopic…
A posteriori error estimation and adaptive strategy for PGD model reduction applied to parametrized linear parabolic problems
Ludovic Chamoin, Florent Pled, Pierre-Eric Allier +1
We define an a posteriori verification procedure that enables to control and certify PGD-based model reduction techniques applied to parametrized linear elliptic or parabolic probl…
New bounding techniques for goal-oriented error estimation applied to linear problems
Pierre Ladevèze, Florent Pled, Ludovic Chamoin
The paper deals with the accuracy of guaranteed error bounds on outputs of interest computed from approximate methods such as the finite element method. A considerable improvement…
On the techniques for constructing admissible stress fields in model verification: Performances on engineering examples
Florent Pled, Ludovic Chamoin, Pierre Ladevèze
Robust global/goal-oriented error estimation is used nowadays to control the approximate finite element solutions obtained from simulation. In the context of Computational Mechanic…