2023 - Research.com Mechanical and Aerospace Engineering in United States Leader Award
2017 - Spirit of St. Louis Medal, The American Society of Mechanical Engineers
2016 - Fellow of the Royal Academy of Engineering (UK)
2014 - IACM Congress Medal (Gauss-Newton Medal)
2013 - Member of the National Academy of Engineering For contributions to computing fluid-structure interactions and their applications in aeronautical, naval, and mechanical engineering.
2011 - SIAM Fellow For contributions to parallel computing and modeling and simulation of fluid-structure interaction problems.
2009 - John von Neumann Medal, U.S. Association for Computational Mechanics (USACM) For outstanding and sustained contributions in high-performance computing, fluid-structure interaction, and computational acoustics and their impact on real-world engineering applications.
2003 - Fellow of the American Society of Mechanical Engineers
2002 - Fellow of the International Association for Computational Mechanics (IACM)
2001 - THE J. TINSLEY ODEN MEDAL
Finite element method, Algorithm, Aeroelasticity, Domain decomposition methods and Applied mathematics are his primary areas of study. The Finite element method study combines topics in areas such as Discretization, Mathematical analysis, Sensitivity and Finite volume method. Charbel Farhat has researched Algorithm in several fields, including Structure, Dynamical systems theory, Interpolation, Parallel computing and Solver.
His Aeroelasticity study combines topics from a wide range of disciplines, such as Flutter, Transonic and Control theory, Nonlinear system. His Domain decomposition methods research is multidisciplinary, incorporating elements of Domain and Computational mechanics. His Applied mathematics research incorporates elements of Computational fluid dynamics, Mathematical optimization, Conservation law, Numerical analysis and Unsteady flow.
The scientist’s investigation covers issues in Finite element method, Algorithm, Applied mathematics, Aeroelasticity and Mathematical analysis. His study in Finite element method is interdisciplinary in nature, drawing from both Discretization and Parallel computing. His work deals with themes such as Flow, Mathematical optimization, Conservation law, Numerical analysis and Finite volume method, which intersect with Applied mathematics.
His Aeroelasticity research includes elements of Computational fluid dynamics, Flutter, Transonic and Control theory, Nonlinear system. His Mathematical analysis research is multidisciplinary, relying on both Lagrange multiplier, Galerkin method and Discontinuous Galerkin method. His study in Domain decomposition methods is interdisciplinary in nature, drawing from both Iterative method and Scalability.
His main research concerns Nonlinear system, Model order reduction, Applied mathematics, Mathematical optimization and Computational fluid dynamics. Charbel Farhat has included themes like Artificial neural network, Algorithm, Computational model and Fluid–structure interaction in his Nonlinear system study. He studies Algorithm, namely Reduction.
His Applied mathematics study integrates concerns from other disciplines, such as Flow, Finite element method, Galerkin method, Eigenvalues and eigenvectors and Finite volume method. His Finite element method research integrates issues from Representation, Mathematical analysis and Boundary. His studies deal with areas such as Lagrange multiplier and Discontinuous Galerkin method as well as Mathematical analysis.
Charbel Farhat mainly investigates Nonlinear system, Mathematical optimization, Model order reduction, Applied mathematics and Partial differential equation. His studies in Nonlinear system integrate themes in fields like Fluid–structure interaction, Algorithm, Residual and Reduced order. Finite element method covers Charbel Farhat research in Fluid–structure interaction.
His Applied mathematics research incorporates themes from Factorization, Incomplete LU factorization, Euler's factorization method and Schur complement. His research investigates the connection between Partial differential equation and topics such as Constrained optimization that intersect with issues in Aeroelasticity, Pointwise and Reduction. His Mathematical analysis research is multidisciplinary, incorporating elements of Mixed finite element method and Constraint algorithm.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A method of finite element tearing and interconnecting and its parallel solution algorithm
Charbel Farhat;Francois-Xavier Roux.
International Journal for Numerical Methods in Engineering (1991)
Partitioned analysis of coupled mechanical systems
Carlos A. Felippa;K.C. Park;Charbel Farhat.
Computer Methods in Applied Mechanics and Engineering (2001)
Load and motion transfer algorithms for fluid/structure interaction problems with non-matching discrete interfaces: Momentum and energy conservation, optimal discretization and application to aeroelasticity
C. Farhat;M. Lesoinne;P. Le Tallec.
Computer Methods in Applied Mechanics and Engineering (1998)
FETI‐DP: a dual–primal unified FETI method—part I: A faster alternative to the two‐level FETI method
Charbel Farhat;Michel Lesoinne;Patrick LeTallec;Kendall Pierson.
International Journal for Numerical Methods in Engineering (2001)
Interpolation Method for Adapting Reduced-Order Models and Application to Aeroelasticity
David Amsallem;Charbel Farhat.
AIAA Journal (2008)
Torsional springs for two-dimensional dynamic unstructured fluid meshes
C. Farhat;C. Degand;B. Koobus;M. Lesoinne.
Computer Methods in Applied Mechanics and Engineering (1998)
Implicit parallel processing in structural mechanics
Compt. Mech. Adv. (1994)
Two efficient staggered algorithms for the serial and parallel solution of three-dimensional nonlinear transient aeroelastic problems
C. Farhat;M. Lesoinne.
Computer Methods in Applied Mechanics and Engineering (2000)
Partitioned procedures for the transient solution of coupled aroelastic problems Part I: Model problem, theory and two-dimensional application
Serge Piperno;Charbel Farhat;Bernard Larrouturou.
Computer Methods in Applied Mechanics and Engineering (1995)
The GNAT method for nonlinear model reduction: Effective implementation and application to computational fluid dynamics and turbulent flows
Kevin Carlberg;Charbel Farhat;Julien Cortial;David Amsallem.
Journal of Computational Physics (2013)
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