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Computational Modelling at HSL. Centre for Modelling and Simulation Pre-Launch and “Shadow” Steering Committee Meeting 23 September 2009. Health & Safety Laboratory. HSL is Britain’s leading industrial health and safety facility Employs over 400 staff of which over a third hold doctorates.

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computational modelling at hsl

Computational Modelling atHSL

Centre for Modelling and Simulation Pre-Launch and “Shadow” Steering Committee Meeting

23 September 2009

health safety laboratory
Health & Safety Laboratory
  • HSL is Britain’s leading industrial health and safety facility
  • Employs over 400 staff of which over a third hold doctorates.
  • Experience across all sectors, including: fire & process safety, CFD, exposure control, human factors etc.
  • Involved in:
    • Incident Investigations
    • Scientific support for policy making and enforcement
computational modelling activities
Computational Modelling Activities
  • Application of computational models to address health & safety problems
  • Independent assessment of modelling submitted in safety cases
  • Independent evaluation of model capabilities and limitations
  • Input into standards setting
  • Development of computational models
examples
Examples
  • Applications:
    • Buncefield vapour cloud and explosion
    • HySafe: EU FP6 Network of Excellence, H2 dispersion & deflagration
    • Vulcan: development of fire and blast resistant structures for aerospace applications
    • International Standard Problem 49: hydrogen deflagration
  • Assessment:
    • Fuel storage pond
    • Boiler spine
    • Smoke movement in an underground station
    • Gas leaks in enclosures
    • Fires in channel tunnel
  • Evaluation:
    • Fire & Explosion model reviews
    • FLACS dispersion modelling review
    • Fire Dynamics Simulator (FDS) review
    • LNG dense gas dispersion: model evaluation protocol and validation database (NFPA)
expectations opportunities and advice
Expectations, Opportunities and Advice
  • Quality & Trust Priorities: Verification and Validation
  • Code Verification
    • Code quality assurance
    • Well-documented releases (open source?)
  • Model Validation
    • Experimental uncertainty: repeatability, measurement errors
    • Modelling: grid, numerics, boundary conditions, model parameters
    • “Blind” joint model evaluation exercises
      • Simple underlying flow cases
      • Realistic flows involving: combustion, radiation, conjugate heat transfer, multi-phase
    • Open reporting: publish even the bad results
    • Peer-reviewed model results database: should this be regarded as equivalent to a peer-reviewed publication?
useful initiatives
Useful Initiatives
  • Generic best-practice guides
    • ERCOFTAC BPG (Casey & Wintergerste, 2000)
    • QNET Knowledge Base (http://qnet.cfms.org.uk)
    • NAFEMS initiatives
  • CFD Code Development
    • FDS (http://fire.nist.gov/fds)
      • Verification & Validation
      • Discussion forum
      • NIST Annual Fire Conference online
    • Saturne Wiki (http://www.saturne.cfdtm.org)
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