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Workshop: An engineering perspective on risk assessment: from theory to practice

26–27 Nov 2018
CERN
Europe/Zurich timezone

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Session

SESSION II

02
26 Nov 2018, 11:10
80/1-001 - Globe of Science and Innovation - 1st Floor (CERN)

80/1-001 - Globe of Science and Innovation - 1st Floor

CERN

Route de Meyrin 385, 1217 Meyrin, Switzerland
60
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Conveners

SESSION II: The role of fire modelling in risk assessment

  • Emanuele Gissi (Corpo Nazionale dei Vigili del Fuoco, Italy)
  • Oriol Rios (CERN)

Presentation materials

There are no materials yet.

  1. 8. Experiments and Modeling in Support of Nuclear Power Plant Probabilistic Risk Assessment in the USA
    Dr Kevin McGrattan (NIST)
    26/11/2018, 11:10

    For the past two decades, the Fire Research Division at the National Institute of Standards and Technology (NIST) has performed fire experiments and numerical modeling to support the transition by the US Nuclear Regulatory Commission to a performance-based, risk informed approach to fire safety. The presentation will briefly describe the various projects, including fire model verification and...

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  2. 4. Treatment of uncertainty in fire safety risk analysis
    Dr Håkan Frantzich (Lund University)
    26/11/2018, 11:30

    Fire safety engineering is still a rather young engineering discipline which is under a rapid development. Historically, fire safety issues have been treated by prescriptive means based on lessons learned from incidents that had occurred. The practical problem occurs when there is no reference to be used. The traditional solution has been to rely on expert judgement, often with limited...

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  3. 10. Practical approaches to QRA in fire protection engineering.
    Dr Piotr Tofilo
    26/11/2018, 11:50

    The goal of this presentation is to discuss QRA methods in the area of fire engineering from own engineering experience and from a wider fire community and literature. QRA usually involves issues such as input data and scenarios, models, uncertainty, sampling techniques and assessment criteria. All these elements are often difficult to address in practical QRA due to lack of data, knowledge...

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  4. 5. Q&A
    26/11/2018, 12:10
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