Tracer dispersion in a duct: Experimental and numerical approach – Application to the well-mixing length determination - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Nuclear Engineering and Design Année : 2019

Tracer dispersion in a duct: Experimental and numerical approach – Application to the well-mixing length determination

Résumé

The aim of this study is to propose an analytical model for assessing the well-mixing length of a tracer in a ventilation duct. The first part of the article is devoted to describe an experimental bench developed for validating the proposed model. This bench allows to follow the evolution of a tracer injected at a source point in the center of a duct by using an original optical measurement technique. In a second part, an analytical model for the spatial evolution of a tracer concentration in a circular duct is developed, taking into account an eddy viscosity model. The diffculty for applying this model to industrial cases led us to propose a simplified version that can be used for a non-dimensional distance greater than 20 diameters. The latter was then inverted in order to access to two criteria: the coeffcient of variation in the duct section and the difference between the local measured concentration and the expected homogeneous concentration. Each one has its interest depending on whether a global information on the duct section or a local information (on the axis for example) at a given distance is required.
Fichier principal
Vignette du fichier
0000162025_001.PDF (3.16 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02457226 , version 1 (27-01-2020)

Licence

Paternité - Pas d'utilisation commerciale - Pas de modification

Identifiants

Citer

Thomas Gelain, Jonathan Alengry, Olivier Vauquelin, Laurent Ricciardi. Tracer dispersion in a duct: Experimental and numerical approach – Application to the well-mixing length determination. Nuclear Engineering and Design, 2019, 353, pp.110229. ⟨10.1016/j.nucengdes.2019.110229⟩. ⟨hal-02457226⟩
39 Consultations
139 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More