Application of a three-field nonlinear fluid–structure formulation to the prediction of the aeroelastic parameters of an F-16 fighter
By Charbel Farhat, Philippe Geuzaine, G. Brown. 2003
269 citations recorded by the source corpus.
Subfields: Computational Mechanics, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/a5fd2b6c5c5e9036826eb332816a3af199986502
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Charbel Farhat
- Philip Avery
- Todd Chapman
- Matthew J. Zahr
- Kevin T. Carlberg
- David Amsallem
- Julien Cortial
- C. Felippa
In Statistical and Nonlinear Physics
- Charbel Farhat
- Philip Avery
- Matthew J. Zahr
- David Amsallem
- Kevin T. Carlberg
- Todd Chapman
- Alfio Maria Quarteroni
- Julien Cortial
Citations in the corpus
- Modular vs. non-modular preconditioners for fluid-structure systems with large added-mass effect (2008, methodology): “Thus, it is common practice in computational aeroelasticity to use an explicit treatment of the coupling, that is only one coupling iteration is performed per time step (see, e.g., [25, 12 ]).”
- A multilevel projection‐based model order reduction framework for nonlinear dynamic multiscale problems in structural and solid mechanics (2017, methodology): “The nonlinear, multiscale, PMOR framework described in the previous sections of this paper was implemented by the authors in the general-purpose FE software AERO-S [50, 51].”
- A study of optimal membrane triangles with drilling freedoms (2003, methodology): “21 shows portion of the interior structure of an F-16 used in aeroelastic studies by Farhat s team [51]: note that triangles are used for any thin wall component.”
- Immersed particle method for fluid–structure interaction (2009, unknown): “[8].”
- A unified formulation of small-strain corotational finite elements: I. Theory (2005, background): “For example a recent paper [26] describes flight maneuver simulations of a complete F-16 fighter using CR elements to model the aircraft.”
- The GNAT method for nonlinear model reduction: Effective implementation and application to computational fluid dynamics and turbulent flows (2012, methodology): “To assess GNAT’s performance on large-scale CFD applications, GNAT is implemented in the massively parallel compressible-flow solver AERO-F [42, 43].”