Modelling Hazardous Phenomena

Modelling consequences of accidental phenomena

From reputational damage to unforeseen costs, increased risks and threats associated with driving industrial projects can have dramatic consequences. That’s why today’s industrial risk management strategies require C-level attention

Leading the way

We pride that our customers recognize us as having developed an integrated modelling approach, built on years of modelling complex scenarii in the most critical industries.

Why Airbus Protect?

To better prevent risks and justify the layout and the design of facilities, we focus on the following areas:

  • Analysing hazardous phenomena and quantifying potential effects
  • Anticipating the consequences of an accidental scenario
  • Understanding the vulnerability of a site to the effects of fire, explosion and the dispersion of toxic products
  • Positioning gas and flame detection sensors…

Our offering

Our highly skilled consultants, experts and trainers can help you manage and mitigate risk and predict the consequences of a dangerous scenario. Our offering covers:

  • Thermal effects (fire, flaming jet, flash fire, fire ball…)
  • Overpressure waves effects (explosions, BLEVE, UVCE…)
  • Accidental atmospheric dispersion (toxic products, dust…)
  • Toxic and/or flammable products concentration in a room
  • Pyrotechnic effects / Ballistic (explosives, wind farm…)
  • 2D/3D modelling: PHAST, FDS, Flumilog, Winvent, CFAST…

Get in touch to discover how we can support you

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White Papers white paper MBSA
How STPA will propel safety analysis beyond its failure-bound paradigm.

This white paper offers a practical approach to building a more robust safety capability. Discover how to propel safety analysis beyond its failure-bound paradigm by harmonising the top-down systemic insights of System-Theoretic Process Analysis (STPA) with the bottom-up quantitative verification of Model-Based Safety Analysis (MBSA).

Blog Cyber Threat Intelligence part 3: AI for intelligence collection
Cyber Threat Intelligence Part 3: Artificial Intelligence for Intelligence Collection

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