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Computational Modelling at HSL

The Health & Safety Laboratory (HSL) is the UK's premier facility for industrial health and safety, employing over 400 experts, a third of whom hold doctorates. HSL excels across various sectors, providing scientific support for policy enforcement and incident investigations. This pre-launch meeting focused on computational modeling applications to address health and safety challenges, independent assessments of models in safety cases, and contributions to standards setting. Key initiatives include evaluating fire and blast resistance in aerospace and modeling hydrogen dispersion and deflagration scenarios.

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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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