Numerical Simulations as Tool to Predict Chemical and Radiological Hazardous Diffusion in Case of Nonconventional Events

CFD (Computational Fluid Dynamics) simulations are widely used nowadays to predict the behaviour of fluids in pure research and in industrial applications. This approach makes it possible to get quantitatively meaningful results, often in good agreement with the experimental ones. The aim of this pa...

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Main Authors: J.-F. Ciparisse, A. Malizia, L. A. Poggi, O. Cenciarelli, M. Gelfusa, M. C. Carestia, D. Di Giovanni, S. Mancinelli, L. Palombi, C. Bellecci, P. Gaudio
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Modelling and Simulation in Engineering
Online Access:http://dx.doi.org/10.1155/2016/6271853
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author J.-F. Ciparisse
A. Malizia
L. A. Poggi
O. Cenciarelli
M. Gelfusa
M. C. Carestia
D. Di Giovanni
S. Mancinelli
L. Palombi
C. Bellecci
P. Gaudio
author_facet J.-F. Ciparisse
A. Malizia
L. A. Poggi
O. Cenciarelli
M. Gelfusa
M. C. Carestia
D. Di Giovanni
S. Mancinelli
L. Palombi
C. Bellecci
P. Gaudio
author_sort J.-F. Ciparisse
collection DOAJ
description CFD (Computational Fluid Dynamics) simulations are widely used nowadays to predict the behaviour of fluids in pure research and in industrial applications. This approach makes it possible to get quantitatively meaningful results, often in good agreement with the experimental ones. The aim of this paper is to show how CFD calculations can help to understand the time evolution of two possible CBRNe (Chemical-Biological-Radiological-Nuclear-explosive) events: (1) hazardous dust mobilization due to the interaction between a jet of air and a metallic powder in case of a LOVA (Loss Of Vacuum Accidents) that is one of the possible accidents that can occur in experimental nuclear fusion plants; (2) toxic gas release in atmosphere. The scenario analysed in the paper has consequences similar to those expected in case of a release of dangerous substances (chemical or radioactive) in enclosed or open environment during nonconventional events (like accidents or man-made or natural disasters).
format Article
id doaj-art-171c73e610fc4582ba74063fdeb2f40d
institution Kabale University
issn 1687-5591
1687-5605
language English
publishDate 2016-01-01
publisher Wiley
record_format Article
series Modelling and Simulation in Engineering
spelling doaj-art-171c73e610fc4582ba74063fdeb2f40d2025-02-03T01:12:35ZengWileyModelling and Simulation in Engineering1687-55911687-56052016-01-01201610.1155/2016/62718536271853Numerical Simulations as Tool to Predict Chemical and Radiological Hazardous Diffusion in Case of Nonconventional EventsJ.-F. Ciparisse0A. Malizia1L. A. Poggi2O. Cenciarelli3M. Gelfusa4M. C. Carestia5D. Di Giovanni6S. Mancinelli7L. Palombi8C. Bellecci9P. Gaudio10Department of Industrial Engineering, University of Rome “Tor Vergata”, Via del Politecnico 1, 00133 Rome, ItalyDepartment of Industrial Engineering, University of Rome “Tor Vergata”, Via del Politecnico 1, 00133 Rome, ItalyDepartment of Industrial Engineering, University of Rome “Tor Vergata”, Via del Politecnico 1, 00133 Rome, ItalyDepartment of Industrial Engineering, University of Rome “Tor Vergata”, Via del Politecnico 1, 00133 Rome, ItalyDepartment of Industrial Engineering, University of Rome “Tor Vergata”, Via del Politecnico 1, 00133 Rome, ItalyDepartment of Industrial Engineering, University of Rome “Tor Vergata”, Via del Politecnico 1, 00133 Rome, ItalyDepartment of Industrial Engineering, University of Rome “Tor Vergata”, Via del Politecnico 1, 00133 Rome, ItalyDepartment of Biomedicine and Prevention, School of Medicine and Surgery, University of Rome “Tor Vergata”, Via Montpellier 1, 00133 Rome, ItalyDepartment of Biomedicine and Prevention, School of Medicine and Surgery, University of Rome “Tor Vergata”, Via Montpellier 1, 00133 Rome, ItalyDepartment of Industrial Engineering, University of Rome “Tor Vergata”, Via del Politecnico 1, 00133 Rome, ItalyDepartment of Industrial Engineering, University of Rome “Tor Vergata”, Via del Politecnico 1, 00133 Rome, ItalyCFD (Computational Fluid Dynamics) simulations are widely used nowadays to predict the behaviour of fluids in pure research and in industrial applications. This approach makes it possible to get quantitatively meaningful results, often in good agreement with the experimental ones. The aim of this paper is to show how CFD calculations can help to understand the time evolution of two possible CBRNe (Chemical-Biological-Radiological-Nuclear-explosive) events: (1) hazardous dust mobilization due to the interaction between a jet of air and a metallic powder in case of a LOVA (Loss Of Vacuum Accidents) that is one of the possible accidents that can occur in experimental nuclear fusion plants; (2) toxic gas release in atmosphere. The scenario analysed in the paper has consequences similar to those expected in case of a release of dangerous substances (chemical or radioactive) in enclosed or open environment during nonconventional events (like accidents or man-made or natural disasters).http://dx.doi.org/10.1155/2016/6271853
spellingShingle J.-F. Ciparisse
A. Malizia
L. A. Poggi
O. Cenciarelli
M. Gelfusa
M. C. Carestia
D. Di Giovanni
S. Mancinelli
L. Palombi
C. Bellecci
P. Gaudio
Numerical Simulations as Tool to Predict Chemical and Radiological Hazardous Diffusion in Case of Nonconventional Events
Modelling and Simulation in Engineering
title Numerical Simulations as Tool to Predict Chemical and Radiological Hazardous Diffusion in Case of Nonconventional Events
title_full Numerical Simulations as Tool to Predict Chemical and Radiological Hazardous Diffusion in Case of Nonconventional Events
title_fullStr Numerical Simulations as Tool to Predict Chemical and Radiological Hazardous Diffusion in Case of Nonconventional Events
title_full_unstemmed Numerical Simulations as Tool to Predict Chemical and Radiological Hazardous Diffusion in Case of Nonconventional Events
title_short Numerical Simulations as Tool to Predict Chemical and Radiological Hazardous Diffusion in Case of Nonconventional Events
title_sort numerical simulations as tool to predict chemical and radiological hazardous diffusion in case of nonconventional events
url http://dx.doi.org/10.1155/2016/6271853
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