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TurbDDT SIGNED

Predicting flame acceleration and deflagration to detonation transition in industrial scale explosions incorporating the turbulence effects

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 TurbDDT project word cloud

Explore the words cloud of the TurbDDT project. It provides you a very rough idea of what is the project "TurbDDT" about.

compressible    repeat    tf    chemical    explosions    fa    audiences    insufficient    scales    influences    provisions    detonation    les    mixtures    disseminate    shown    nature    fill    predictive    host    tubes    continue    er    gas    predict    obstacles    smooth    communicate    lacks    practical    frequency    business    channels    deflagration    safety    simulations    ing    missing    concentration    interpret    occurs    gain    transition    incorporating    interruption    transfer    stringent    model    efficient    mechanisms    experimental    involve    gaps    industrial    linear    shade    medium    draw    light    investigations    fires    solver    structures    explosives    statistics    techniques    turbddt    despite    conduct    gradients    global    uniform    explosion    numerical    dns    guidelines    differences    reactive    eddy    crs    turbulence    predictions    profound    clem    ddt    predicted    capture    physical    acceleration    capability    flame    scientific   

Project "TurbDDT" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY OF WARWICK 

Organization address
address: Kirby Corner Road - University House
city: COVENTRY
postcode: CV4 8UW
website: www.warwick.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 195˙454 €
 EC max contribution 195˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-09-03   to  2020-09-02

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF WARWICK UK (COVENTRY) coordinator 195˙454.00

Map

 Project objective

Statistics show that fires and explosions are the top cause of Business Interruption loss. Despite increasingly stringent safety measures, explosions continue to occur with higher frequency and consequences especially when Deflagration to Detonation Transition (DDT) occurs. Flame acceleration (FA) and DDT involve complex physical and chemical processes. Current provisions for explosion safety design are based on mechanisms for explosives and insufficient to interpret the complex nature of gas explosions. Their use in safety design is problematic.

DNS predictions have shown the importance of TF on FA and DDT in uniform mixtures. Such influences are likely to be even more profound in mixtures with concentration gradients and when obstacles are present. There lacks experimental and numerical investigations to shade light on this. Robust and efficient predictive techniques which can capture global safety features associated with FA and DDT as well as TF are also missing. TurbDDT aims to fill these knowledge gaps. It aims to predict FA and DDT in industrial scale explosions incorporating the turbulence effects. The specific scientific objectives include:

1. To gain insight of TF on FA and DDT in smooth channels/tubes with uniform mixtures and mixtures with concentration gradients using DNS; 2. To repeat the above in channels/tubes with obstacles; 3. To assess the capability of the compressible linear eddy model in large eddy simulations (CLEM-LES) for medium scale simulations and compressible reactive solver (CRS) for large scales; 4. To conduct large scale FA and DDT of practical scales and assess the resulting differences in the predicted likelihood of DDT and explosion impact on structures when the more efficient CRS approach is used; and to draw conclusions and guidelines on large scale FA and DDT predictions. 5. Foster a two-way transfer of knowledge between the ER and host; and 6. Disseminate and communicate TurbDDT results to wider audiences.

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