Application de l'assimilation de données à  la mécanique des fluides numérique : de la turbulence isotrope aux écoulements urbains

Abstract : In this thesis, we investigate the use of various data assimilation (DA) techniques in the context of CFD, with the ultimate goal of enhancing the prediction of real-world flows. DA consists in merging numerical predictions and experimental observations in order to improve the estimation of the CFD solver inputs. Both methodological aspects of DA and its potential application to physics investigations are explored for various flow configurations. First, DA is considered for the theoretical analysis of grid turbulence decay. Fundamental aspects of anisotropic homogeneous turbulence are also investigated through spectral modelling. Various DA methodologies are deployed in conjunction with a Navier-Stokes solver and are assessed for the reconstruction of unsteady compressible flows with large control vectors. Sensor placement strategies are developed to enhance the performances of the DA process. Finally, a first application of DA to Large Eddy Simulations of full-scale urban flows is proposed with the aim of identifying source and wind parameters from concentration measurements.
Complete list of metadatas

Cited literature [392 references]  Display  Hide  Download

https://tel.archives-ouvertes.fr/tel-01927598
Contributor : Abes Star <>
Submitted on : Tuesday, September 24, 2019 - 12:20:03 PM
Last modification on : Thursday, September 26, 2019 - 1:15:45 AM

File

2016PA066400.pdf
Version validated by the jury (STAR)

Identifiers

  • HAL Id : tel-01927598, version 2

Citation

Vincent Mons. Application de l'assimilation de données à  la mécanique des fluides numérique : de la turbulence isotrope aux écoulements urbains. Fluid Dynamics [physics.flu-dyn]. Université Pierre et Marie Curie - Paris VI, 2016. English. ⟨NNT : 2016PA066400⟩. ⟨tel-01927598v2⟩

Share

Metrics

Record views

26

Files downloads

10