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A quantitative approach for the evaluation of rockfall risk on buildings

Author

Listed:
  • Valerio De Biagi

    (Politecnico di Torino)

  • Maria Lia Napoli

    (Politecnico di Torino)

  • Monica Barbero

    (Politecnico di Torino)

Abstract

A quantitative rockfall risk analysis at local scale is a complex and difficult task because it should consider both the randomness in the natural phenomenon and the variability of the response of the elements at risk. In engineering systems, such difficulties can be tackled with logical trees. In particular, event trees allow the determination of a set of outcomes of a given event in a probabilistic manner. Following recent publications on the estimation of rockfall risk on infrastructures (roads) by means of the event tree approach, a novel framework for the quantitative evaluation of the effects of the impact of a falling rock block on a building is presented. The method considers the occurrence of a given rockfall event, the kinetic energy of the falling block, the structural response of the impacted elements and the possibility of damage propagation within the building. An example is proposed to show the capabilities of the proposed approach.

Suggested Citation

  • Valerio De Biagi & Maria Lia Napoli & Monica Barbero, 2017. "A quantitative approach for the evaluation of rockfall risk on buildings," 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. 88(2), pages 1059-1086, September.
    • Handle: RePEc:spr:nathaz:v:88:y:2017:i:2:d:10.1007_s11069-017-2906-3
    DOI: 10.1007/s11069-017-2906-3
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    References listed on IDEAS

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    1. Claudia Mignelli & Stefano Russo & Daniele Peila, 2012. "ROckfall risk MAnagement assessment: the RO.MA. approach," 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. 62(3), pages 1109-1123, July.
    2. Settimio Ferlisi & Leonardo Cascini & Jordi Corominas & Fabio Matano, 2012. "Rockfall risk assessment to persons travelling in vehicles along a road: the case study of the Amalfi coastal road (southern Italy)," 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. 62(2), pages 691-721, June.
    3. Valerio De Biagi & Monica Barbero & Mauro Borri-Brunetto, 2016. "A reliability-based method for taking into account snowfall return period in the design of buildings in avalanche-prone areas," 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. 81(3), pages 1901-1912, April.
    4. Claudia Mignelli & Daniele Peila & Stefano Lo Russo & Sara Ratto & Massimo Broccolato, 2014. "Analysis of rockfall risk on mountainside roads: evaluation of the effect of protection devices," 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. 73(1), pages 23-35, August.
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    Cited by:

    1. Ziwei Ge & Hongyan Liu, 2023. "Numerical investigation on the dynamic response of rockfall impacts on flexible barrier under seismic loading," 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. 115(2), pages 1213-1234, January.

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