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Probabilistic modelling of forces of hail

Author

Listed:
  • Shihara Perera

    (The University of Melbourne)

  • Nelson Lam

    (The University of Melbourne)

  • Mahil Pathirana

    (The University of Melbourne)

  • Lihai Zhang

    (The University of Melbourne)

  • Dong Ruan

    (Swinburne University of Technology)

  • Emad Gad

    (Swinburne University of Technology)

Abstract

Numerical modelling techniques enable forcing function at the point of contact in a hail impact to be predicted, but many models available in commercial software have not been verified by experiments. A recently developed deterministic model is only able to simulate the impact action of an idealised spherical hailstone. Results recorded from the impact testing of non-spherical simulated hail ice specimens show wide scatters and are different to spherical specimens. A stochastic model has been developed in this study to incorporate the variability of the modelling parameters representing the behaviour of non-spherical ice specimens and to generate time histories of contact force for given impact scenarios. A probabilistic model which was developed previously to provide predictions of the distribution of the size of hailstones in a severe category hailstorm has also been further developed to provide predictions of the maximum contact force values in probabilistic terms. For any given pre-defined forcing function denting into the surface of a steel plate can be estimated by finite element analysis or experimentally on a test machine. The new knowledge base introduced in this paper can be used by manufacturers and designers to re-assess existing products and in making improvements to future installations taking into account cost–benefit considerations.

Suggested Citation

  • Shihara Perera & Nelson Lam & Mahil Pathirana & Lihai Zhang & Dong Ruan & Emad Gad, 2018. "Probabilistic modelling of forces of hail," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(1), pages 133-153, March.
  • Handle: RePEc:spr:nathaz:v:91:y:2018:i:1:d:10.1007_s11069-017-3117-7
    DOI: 10.1007/s11069-017-3117-7
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