Opendata, web and dolomites

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

Views

0

 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.

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

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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "TURBDDT" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.3.2.)

ROMANCE (2020)

StRategies fOr iMproving Agronomic practices based oN miCrobiomEs.

Read More  

MacMeninges (2019)

Control of Central Nervous Sytem inflammation by meningeal macrophages, and its impairment upon aging

Read More  

MNSWLGM (2019)

An optofluidic platform based on liquid-gradient refractive index microlens for the isolation and quantification of extracellular vesicles

Read More