Computational modelling at hsl
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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

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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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