Abstract
AbstractThe main vulnerability models available in the literature aim to develop damage fragility curves to estimate the damage level suffered by a building after a seismic event. However, recent earthquakes have highlighted the great importance of predicting the usability of residential buildings, i.e. the condition of a building being habitable or occupiable after a seismic event. The building usability performance can be used as an indicator for allocating economic funding after a seismic event because recent researches have demonstrated a stronger correlation between repair costs and usability assessment rather than between repair costs and structural damage. Therefore, this work focused on the development of census-based fragility curves for the preventive forecast of the usability of Italian unreinforced-masonry buildings. The proposed usability model was calibrated based on the 2009 L'Aquila earthquake database, including almost 60,000 unreinforced-masonry buildings, and this database was increased by adding data from the Italian census to account for uninspected constructions. Six typological classes were defined considering two parameters available both in the post-earthquake and Italian census databases: construction timespan and state of repair. Additionally, it was highlighted in which cases the number of stories was also relevant. The usability fragility curves were defined as a function of peak ground acceleration for two building usability states: partially unusable and unusable. The results confirmed that older buildings are more vulnerable and clearly pointed out the crucial role of the state of repair as a parameter influencing the building usability.
Publisher
Springer Science and Business Media LLC
Subject
Geophysics,Geotechnical Engineering and Engineering Geology,Building and Construction,Civil and Structural Engineering
Reference65 articles.
1. AlShawa O, Sorrentino L, Liberatore D (2017) Simulation of shake table tests on out-of-plane masonry buildings. Part (II): combined finite-discrete elements. Int J Archit Herit 11:79–93. https://doi.org/10.1080/15583058.2016.1237588
2. Aslani H, Miranda E (2005) Probabilistic earthquake loss estimation and loss disaggregation in buildings. Stanford University, Stanford
3. Baggio C, Bernardini A, Colozza R et al (2007) Field manual for post-earthquake damage and safety assessment and short term countermeasures (AeDES). In: Pinto A, Taucer F (eds) Translation from Italian: Goretti A, Rota M. JRC Scientific and Technical Reports, EUR
4. Baker JW (2015) Efficient analytical fragility function fitting using dynamic structural analysis. Earthq Spectra 31:579–599. https://doi.org/10.1193/021113EQS025M
5. Baker JW, Cornell CA (2008) Uncertainty propagation in probabilistic seismic loss estimation. Struct Saf 30:236–252. https://doi.org/10.1016/j.strusafe.2006.11.003
Cited by
21 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献