Computationally efficient simulation of unsteady aerodynamics using POD on the fly

Moreno Ramos, Ruben; Vega de Prada, José Manuel y Varas Merida, Fernando (2016). Computationally efficient simulation of unsteady aerodynamics using POD on the fly. "Fluid Dynamics Research", v. 48 (n. 6); pp. 14-24. ISSN 0169-5983. https://doi.org/10.1088/0169-5983/48/6/061424.

Descripción

Título: Computationally efficient simulation of unsteady aerodynamics using POD on the fly
Autor/es:
  • Moreno Ramos, Ruben
  • Vega de Prada, José Manuel
  • Varas Merida, Fernando
Tipo de Documento: Artículo
Título de Revista/Publicación: Fluid Dynamics Research
Fecha: Diciembre 2016
Volumen: 48
Materias:
Escuela: E.T.S. de Ingeniería Aeronáutica y del Espacio (UPM)
Departamento: Matemática Aplicada a la Ingeniería Aeroespacial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Modern industrial aircraft design requires a large amount of sufficiently accurate aerodynamic and aeroelastic simulations. Current computational fluid dynamics (CFD) solvers with aeroelastic capabilities, such as the NASA URANS unstructured solver FUN3D, require very large computational resources. Since a very large amount of simulation is necessary, the CFD cost is just unaffordable in an industrial production environment and must be significantly reduced. Thus, a more inexpensive, yet sufficiently precise solver is strongly needed. An opportunity to approach this goal could follow some recent results (Terragni and Vega 2014 SIAM J. Appl. Dyn. Syst. 13 330–65; Rapun et al 2015 Int. J. Numer. Meth. Eng. 104 844–68) on an adaptive reduced order model that combines 'on the fly' a standard numerical solver (to compute some representative snapshots), proper orthogonal decomposition (POD) (to extract modes from the snapshots), Galerkin projection (onto the set of POD modes), and several additional ingredients such as projecting the equations using a limited amount of points and fairly generic mode libraries. When applied to the complex Ginzburg–Landau equation, the method produces acceleration factors (comparing with standard numerical solvers) of the order of 20 and 300 in one and two space dimensions, respectively. Unfortunately, the extension of the method to unsteady, compressible flows around deformable geometries requires new approaches to deal with deformable meshes, high-Reynolds numbers, and compressibility. A first step in this direction is presented considering the unsteady compressible, two-dimensional flow around an oscillating airfoil using a CFD solver in a rigidly moving mesh. POD on the Fly gives results whose accuracy is comparable to that of the CFD solver used to compute the snapshots.

Proyectos asociados

TipoCódigoAcrónimoResponsableTítulo
Gobierno de EspañaTRA-2013-45808-RSin especificarSin especificarSimulación eficiente de sistemas aeronáuticos
Gobierno de EspañaMTM-2013-47800-C2-2-PSin especificarSin especificarModelado matemático, análisis y simulación numérica de problemas en finanzas y seguros, procesos industriales, biotecnología y medioambiente.

Más información

ID de Registro: 46210
Identificador DC: http://oa.upm.es/46210/
Identificador OAI: oai:oa.upm.es:46210
Identificador DOI: 10.1088/0169-5983/48/6/061424
URL Oficial: http://iopscience.iop.org/article/10.1088/0169-5983/48/6/061424
Depositado por: Memoria Investigacion
Depositado el: 29 Ene 2018 12:08
Ultima Modificación: 29 Ene 2018 12:08
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