elsA is a multi-application CFD simulation platform dealing with internal and external aerodynamics from the low subsonic to the high supersonic flow regime. The compressible 3-D Reynolds averaged Navier-Stokes equations for arbitrary moving bodies are solved by a cell centered finite-volume method with second order upwind or central space discretization with scalar or matrix artificial dissipation on multi-block structured meshes. A high flexibility in the multi-block approach is achieved in elsA through patched grid, Hierarchical Mesh Refinement and Chimera techniques. The discrete equations are integrated either by multistage Runge-Kutta schemes with implicit residual smoothing, or, which in general leads to a better efficiency, by backward Euler integration with implicit LU schemes. For time accurate computations, the implicit dual time stepping method or the Gear integration scheme are employed. Preconditioning is used for low speed flow simulations. A large variety of turbulence models are available, ranging from eddy viscosity to full differential Reynolds stress models, and including options for Detached Eddy Simulation (DES) and Large Eddy Simulation (LES). Various transition models are also available for complex geometry configurations. elsA software package includes an important software module dealing with aeroelasticity [8], [9]. Also, a module dealing with calculation of gradients by linearized equation or by adjoint solver techniques is very useful for aerodynamic optimization.

References in zbMATH (referenced in 26 articles )

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  1. Granados-Ortiz, Francisco-Javier; Pérez Arroyo, Carlos; Puigt, Guillaume; Lai, Choi-Hong; Airiau, Christophe: On the influence of uncertainty in computational simulations of a high-speed jet flow from an aircraft exhaust (2019)
  2. Deck, Sébastien; Weiss, Pierre-Elie; Renard, Nicolas: A rapid and low noise switch from RANS to WMLES on curvilinear grids with compressible flow solvers (2018)
  3. Weiss, Pierre-Élie; Deck, Sébastien: On the coupling of a zonal body-fitted/immersed boundary method with ZDES: application to the interactions on a realistic space launcher afterbody flow (2018)
  4. Pinto, Runa Nivea; Afzal, Asif; D’Souza, Loyan Vinson; Ansari, Zahid; Mohammed Samee, A. D.: Computational fluid dynamics in turbomachinery: a review of state of the art (2017)
  5. Arnault, A.; Dandois, J.; Foucaut, J.-M.: Comparison of stochastic estimation methods with conditional events optimization for the reconstruction of the flow around a supercritical airfoil in transonic conditions (2016)
  6. Beneddine, Samir; Sipp, Denis; Arnault, Anthony; Dandois, Julien; Lesshafft, Lutz: Conditions for validity of mean flow stability analysis (2016)
  7. Resmini, A.; Peter, J.; Lucor, D.: Sparse grids-based stochastic approximations with applications to aerodynamics sensitivity analysis (2016)
  8. Richez, F.; Leguille, M.; Marquet, O.: Selective frequency damping method for steady RANS solutions of turbulent separated flows around an airfoil at stall (2016)
  9. Todarello, Giovanni; Vonck, Floris; Bourasseau, Sébastien; Peter, Jacques; Désidéri, Jean-Antoine: Finite-volume goal-oriented mesh adaptation for aerodynamics using functional derivative with respect to nodal coordinates (2016)
  10. Hue, David; Péron, Stéphanie; Wiart, Ludovic; Atinault, Olivier; Gournay, Elie; Raud, Pascal; Benoit, Christophe; Mayeur, Julien: Validation of a near-body and off-body grid partitioning methodology for aircraft aerodynamic performance prediction (2015)
  11. Vanharen, Julien; Puigt, Guillaume; Montagnac, Marc: Theoretical and numerical analysis of nonconforming grid interface for unsteady flows (2015)
  12. Gomar, Adrien; Bouvy, Quentin; Sicot, Frédéric; Dufour, Guillaume; Cinnella, Paola; François, Benjamin: Convergence of Fourier-based time methods for turbomachinery wake passing problems (2014)
  13. Mettot, Clément; Renac, Florent; Sipp, Denis: Computation of eigenvalue sensitivity to base flow modifications in a discrete framework: application to open-loop control (2014)
  14. Grenier, N.; Vila, J.-P.; Villedieu, P.: An accurate low-Mach scheme for a compressible two-fluid model applied to free-surface flows (2013)
  15. Laurent, C.; Mary, I.; Gleize, V.; Lerat, A.; Arnal, D.: DNS database of a transitional separation bubble on a flat plate and application to RANS modeling validation (2012)
  16. Rieke, Roland; Prieto, Elsa; Diaz, Rodrigo; Debar, Hervé; Hutchison, Andrew: Challenges for advanced security monitoring -- the MASSIF project (2012) ioport
  17. Placzek, A.; Tran, D.-M.; Ohayon, R.: A nonlinear POD-Galerkin reduced-order model for compressible flows taking into account rigid body motions (2011)
  18. Gazaix, M.; Mazet, S.; Montagnac, M.: Large scale massively parallel computations with the block-structured elsA CFD software (2010)
  19. Kumar, Ch. Aswani; Srinivas, S.: A note on weighted fuzzy K-means clustering for concept decomposition (2010)
  20. Cambier, L.; Kroll, N.: MIRACLE -- a joint DLR/ONERA effort on harmonization and development of industrial and research aerodynamic computational environment (2008)

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Further publications can be found at: http://elsa.onera.fr/publications.html