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Probabilistic Assessment of Masonry Building Clusters

Authors: Vailati, M.; Monti, G.; Khazna, M. J.; Napoli; Realfonzo;

Probabilistic Assessment of Masonry Building Clusters

Abstract

A Masonry Building Cluster (MBC) is made from an assemblage of buildings and thus has a non-unitary origin: however, under certain conditions, Structural Units (SUs) can be identified and analysed independently. Starting from a deterministic simplified procedure developed by the authors, a fully probabilistic method of analysis of a SU has been developed, which treats as uncertain all relevant variables, such as: general data, geometry, construction details, materials. This allows to perform fully probabilistic Monte-Carlo-based analyses that allow to compute the failure probability of the MBC. The subsequent sensitivity analyses allow in turn to identify the effect of the different variables on the global response. The latter step proved to be very useful to single out the structural elements worth of a deeper investigation, thus reducing the uncertainty of the assessment outcome.

Country
Italy
Keywords

Masonry building aggregate; FME method; Uncertainties; Sensitivity analysis; Reliability analysis, Masonry building aggregate, FME method, Uncertainties, Sensitivity analysis, Reliability analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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