Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Patrice Castonguay"'
Cross Validation of Aerodynamic Shape Optimization Methodologies for Aircraft Wing-Body Optimization
Autor:
Pascal Bochud, David Leblond, Thomas A. Reist, Patrice Castonguay, David W. Zingg, David C. Koo
Publikováno v:
AIAA Journal. 58:2581-2595
This paper presents the cross validation of two aerodynamic shape optimization methodologies in order to validate, characterize, and compare the two methodologies. Both methodologies use gradient-b...
Autor:
Kurt Sermeus, Patrice Castonguay, David A. Brown, Siva Nadarajah, Hassan Raiesi, Hong Yang, Patrick Germain
Publikováno v:
AIAA Journal. 57:521-531
A linear elasticity mesh movement algorithm is presented for unstructured computational aerodynamic meshes consisting of multiple element types. An adaptive method for incrementally stiffening mesh...
Publikováno v:
Computers & Fluids. 179:490-507
An essential step in adjoint-based aerodynamic shape optimization is to obtain the Lagrange multiplier by solving a sparse linear adjoint system of equations based on the Jacobian matrices from the converged flow states. Such an approach has been app
Publikováno v:
Journal of Aircraft. 55:1542-1550
This paper presents the development of a new framework of multiblock structured elliptic grid smoothing for full-aircraft configurations. The framework is fully automated and applies different solv...
Publikováno v:
Computers & Fluids. 198:104255
New massively parallel hardware for scientific computation promise new levels of performance for computational fluid dynamics codes. However, for leveraging such hardware for implicit solvers, fine-grain parallel algorithms are needed. We develop an
Autor:
Patrick Germain, Sivakumaran Nadarajah, Hassan Raiesi, Hong Yang, Kurt Sermeus, David A. Brown, Patrice Castonguay
Publikováno v:
2018 AIAA Aerospace Sciences Meeting.
Autor:
M. Arsaev, Joe Eaton, Jonathan Cohen, N. Markovskiy, Julien Demouth, Simon K. Layton, V. Sellappan, Maxim Naumov, Robert Strzodka, Patrice Castonguay, Istvan Z. Reguly, Nikolai Sakharnykh
Publikováno v:
SIAM Journal on Scientific Computing. 37:S602-S626
The solution of large sparse linear systems arises in many applications, such as computational fluid dynamics and oil reservoir simulation. In realistic cases the matrices are often so large that they require large scale distributed parallel computin
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 267:400-417
High-order methods for unstructured grids provide a promising option for solving challenging problems in computational fluid dynamics. Flux reconstruction (FR) is a framework which unifies a number of these high-order methods, such as the spectral di
Publikováno v:
Journal of Computational Physics. 250:53-76
The Flux Reconstruction (FR) approach unifies several well-known high-order schemes for unstructured grids, including a collocation-based nodal discontinuous Galerkin (DG) method and all types of Spectral Difference (SD) methods, at least for linear
Publikováno v:
International Journal for Numerical Methods in Fluids. 72:231-258
SUMMARY The combination of a high-order unstructured spectral difference (SD) spatial discretization scheme with sub-grid scale (SGS) modeling for large-eddy simulation is investigated with particular focus on the consistent implementation of a struc