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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.

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

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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