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A multidimensional discrete sampling method for deriving regional level seismic fragility and losses of RC existing buildings

Bibliographic Data

ID22025229
AuthorsSergio Ruggieri (0000-0002-3852-9335, Polytechnic University of Bari, corresponding author), Andrea Nettis (0000-0001-8133-6830, Polytechnic University of Bari), Mirko Calò (0000-0003-4148-5959, Polytechnic University of Bari), Giuseppina Uva (0000-0001-6408-167X, Polytechnic University of Bari)
Year2025
Volume129
Pages105788
Publication date2025-10-01
Open AccessYes
TypeARTICLE
VenueInternational Journal of Disaster Risk Reduction (JOURNAL)
Journal identifiersISSN: 2212-4209
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ijdrr.2025.105788
OpenAlexW4413801917
LanguageEN
Citations received1
References cited57

Civil engineering · Forensic engineering · Fragility · Physics · Telecommunications · Computer Science · Engineering · Environmental Science · Masonry and Concrete Structural Analysis · Seismic Performance and Analysis · Structural Response to Dynamic Loads

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  • Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

    Open Access•Stuart Geman, Donald Geman•IEEE Transactions on Pattern…•1984

  • On Information and Sufficiency

    Open Access•S Kullback, R A Leibler•The Annals of Mathematical…•1951

  • The importance of indirect losses in the seismic risk assessment of industrial buildings – An application to precast RC buildings in Portugal

    Open Access•Romain Sousa, Vítor Silva et al.•International Journal of Disaster…•2022

Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae