672 citations · 1.2k across the 19 of their papers we have counts for
22 papers
Neural-Network-Augmented Projection-Based Model Order Reduction for Mitigating the Kolmogorov Barrier to Reducibility of CFD Models
Joshua L Barnett, Charbel Farhat, Yvon Maday
Inspired by our previous work on mitigating the Kolmogorov barrier using a quadratic approximation manifold, we propose in this paper a computationally tractable approach for combi…
Quadratic Approximation Manifold for Mitigating the Kolmogorov Barrier in Nonlinear Projection-Based Model Order Reduction
Joshua Barnett, Charbel Farhat
A quadratic approximation manifold is presented for performing nonlinear, projection-based, model order reduction (PMOR). It constitutes a departure from the traditional affine sub…
Linear Reduced Order Model Predictive Control
Joseph Lorenzetti, Andrew McClellan, Charbel Farhat +1
Model predictive controllers use dynamics models to solve constrained optimal control problems. However, computational requirements for real-time control have limited their use to…
Mesh sampling and weighting for the hyperreduction of nonlinear Petrov-Galerkin reduced-order models with local reduced-order bases
Sebastian Grimberg, Charbel Farhat, Radek Tezaur +1
The energy-conserving sampling and weighting (ECSW) method is a hyperreduction method originally developed for accelerating the performance of Galerkin projection-based reduced-ord…
A Computationally Tractable Framework for Nonlinear Dynamic Multiscale Modeling of Membrane Fabric
Philip Avery, Daniel Z. Huang, Wanli He +3
A general-purpose computational homogenization framework is proposed for the nonlinear dynamic analysis of membranes exhibiting complex microscale and/or mesoscale heterogeneity ch…
In-situ adaptive reduction of nonlinear multiscale structural dynamics models
Wanli He, Philip Avery, Charbel Farhat
Conventional offline training of reduced-order bases in a predetermined region of a parameter space leads to parametric reduced-order models that are vulnerable to extrapolation. T…