1 code implementation • 6 Dec 2020 • Joseph Lorenzetti, Andrew McClellan, Charbel Farhat, Marco Pavone
Model predictive controllers use dynamics models to solve constrained optimal control problems.
no code implementations • 6 Aug 2020 • Sebastian Grimberg, Charbel Farhat, Radek Tezaur, Charbel Bou-Mosleh
The energy-conserving sampling and weighting (ECSW) method is a hyperreduction method originally developed for accelerating the performance of Galerkin projection-based reduced-order models (PROMs) associated with large-scale finite element models, when the underlying projected operators need to be frequently recomputed as in parametric and/or nonlinear problems.
no code implementations • 12 Jul 2020 • Philip Avery, Daniel Z. Huang, Wanli He, Johanna Ehlers, Armen Derkevorkian, Charbel Farhat
The numerical solution of displacement driven problems involving this model can be adapted to the context of membranes by a variant of the Klinkel-Govindjee method[1] originally proposed for using finite strain, three-dimensional material models in beam and shell elements.
no code implementations • 27 Jan 2020 • Sebastian Grimberg, Charbel Farhat, Noah Youkilis
In the literature on projection-based nonlinear model order reduction for fluid dynamics problems, it is often claimed that due to modal truncation, a projection-based reduced-order model (PROM) does not resolve the dissipative regime of the turbulent energy cascade and therefore is numerically unstable.
4 code implementations • 29 May 2019 • Daniel Z. Huang, Kailai Xu, Charbel Farhat, Eric Darve
Its counterparts, like piecewise linear functions and radial basis functions, are compared, and the strength of neural networks is explored.
Numerical Analysis Numerical Analysis Computational Physics
no code implementations • 26 Jan 2019 • Cristina White, Daniela Ushizima, Charbel Farhat
Incorporating computational fluid dynamics in the design process of jets, spacecraft, or gas turbine engines is often challenged by the required computational resources and simulation time, which depend on the chosen physics-based computational models and grid resolutions.