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Computational Modelling at HSL

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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  1. Computational Modelling atHSL Centre for Modelling and Simulation Pre-Launch and “Shadow” Steering Committee Meeting 23 September 2009

  2. 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

  3. 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

  4. 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)

  5. 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?

  6. 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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