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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.

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

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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The information about "TURBDDT" are provided by the European Opendata Portal: CORDIS opendata.

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