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The concept of validation of numerical models for consequence analysis

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  • Borg, Audun
  • Paulsen Husted, Bjarne
  • NjÃ¥, Ove

Abstract

Numerical models such as computational fluid dynamics (CFD) models are increasingly used in life safety studies and other types of analyses to calculate the effects of fire and explosions. The validity of these models is usually established by benchmark testing. This is done to quantitatively measure the agreement between the predictions provided by the model and the real world represented by observations in experiments. This approach assumes that all variables in the real world relevant for the specific study are adequately measured in the experiments and in the predictions made by the model.

Suggested Citation

  • Borg, Audun & Paulsen Husted, Bjarne & NjÃ¥, Ove, 2014. "The concept of validation of numerical models for consequence analysis," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 36-45.
    • Handle: RePEc:eee:reensy:v:125:y:2014:i:c:p:36-45
    DOI: 10.1016/j.ress.2013.09.009
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    References listed on IDEAS

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    1. Joshua M. Epstein, 2008. "Why Model?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(4), pages 1-12.
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    Cited by:

    1. Seo, Seung-Kwon & Yoon, Young-Gak & Lee, Ju-sung & Na, Jonggeol & Lee, Chul-Jin, 2022. "Deep Neural Network-based Optimization Framework for Safety Evacuation Route during Toxic Gas Leak Incidents," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    2. Robinson, Allen C. & Drake, Richard R. & Swan, M. Scot & Bennett, Nichelle L. & Smith, Thomas M. & Hooper, Russell & Laity, George R., 2021. "A software environment for effective reliability management for pulsed power design," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
    3. Lam, C.Y. & Tai, K., 2020. "Network topological approach to modeling accident causations and characteristics: Analysis of railway incidents in Japan," Reliability Engineering and System Safety, Elsevier, vol. 193(C).

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