Observatorio de I+D+i UPM

Descripción
A method based on an iterative application of high order singular value decomposition is derived for the reconstruction of missing data in multidimensional databases. The method is inspired by a seminal gappy reconstruction method for two-dimensional databases invented by Everson and Sirovich (1995) and improved by Beckers and Rixen (2003) and Venturi and Karniadakis (2004). In addition, the method is adapted to treat both noisy and structured-but-nonrectangular databases. The method is calibrated and illustrated using a three-dimensional toy model database that is obtained by discretizing a transcendental function. The performance of the method is tested on three aerodynamic databases for the flow past a wing, one obtained by a semi-analytical method, and two resulting from computational fluid dynamics. The method is finally applied to an experimental database consisting in a non-exhaustive parameter space measurement of forces for a box-wing configuration.
Internacional	No
ISBN
Tipo de Tesis	Doctoral
Calificación	Sobresaliente cum laude
Fecha	04/05/2016

Esta actividad pertenece a memorias de investigación

• Autor: Ana Isabel Moreno Lopez (UPM)
• Director: Jose Manuel Vega De Prada (UPM)
• Director: Jose Manuel Perales Perales (UPM)

• Creador: Grupo de Investigación: Dinámica y estabilidad no lineal en ingeniería aeroespacial
• Departamento: Matemática Aplicada a la Ingeniería Aeroespacial