IDEAS home Printed from https://ideas.repec.org/a/sae/risrel/v224y2010i4p279-296.html
   My bibliography  Save this article

Forecasting seismic damage scenarios of residential buildings from rough inventories: A case-study in the Abruzzo Region (Italy)

Author

Listed:
  • A Bernardini
  • S Lagomarsino
  • A Mannella
  • A Martinelli
  • L Milano
  • S Parodi

Abstract

A model is presented for forecasting the seismic vulnerability and probability of damage of ordinary building types, as a function of the local macroseismic intensity or correlated parameters of the ground motion. The conventional definitions of damage degrees and vulnerability classes of the building types have been assumed according to the EMS98 macroseismic scale. The model allows damage scenarios to be evaluated in selected areas where an inventory of the buildings, containing at least some qualitative information is available, in order to recognize, for the different types, the corresponding vulnerability class or at least the probability of membership to the vulnerability classes. The epistemic uncertainty of the qualitative definitions suggested by the scale for frequencies of damage is taken into account through the formalizing of the imprecise probabilities, i.e. through convex sets of possible probability distributions on the discrete space of the damage degrees, with particular reference to their description by means of random sets, both non-consonant and consonant (fuzzy sets). It is thus possible to obtain upper/lower bounds of the expectation of interesting functions of the damage degrees (e.g. number of victims, unusable buildings, and collapsed buildings). The model has been applied to the entire area of the Abruzzo Region (Central Italy), using the inventory of buildings recorded by the National Statistics Agency. Some comparisons are given between the expected damage and that observed after the strong earthquake that in April 2009 struck a more restricted zone of the region (the town of L'Aquila and surrounding countryside).

Suggested Citation

  • A Bernardini & S Lagomarsino & A Mannella & A Martinelli & L Milano & S Parodi, 2010. "Forecasting seismic damage scenarios of residential buildings from rough inventories: A case-study in the Abruzzo Region (Italy)," Journal of Risk and Reliability, , vol. 224(4), pages 279-296, December.
  • Handle: RePEc:sae:risrel:v:224:y:2010:i:4:p:279-296
    DOI: 10.1243/1748006XJRR305
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1243/1748006XJRR305
    Download Restriction: no

    File URL: https://libkey.io/10.1243/1748006XJRR305?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Abdelheq Guettiche & Philippe Guéguen & Mostefa Mimoune, 2017. "Seismic vulnerability assessment using association rule learning: application to the city of Constantine, Algeria," 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. 86(3), pages 1223-1245, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:risrel:v:224:y:2010:i:4:p:279-296. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.