Chapter 4 - Empirical Fragility and Vulnerability Assessment: Not Just a Regression
References (0)
Cited by (6)
Fragility curves derivation for masonry buildings damaged after 2009 L'Aquila earthquake accounting for the effect of construction age
2022, International Journal of Disaster Risk ReductionCitation Excerpt :The latter fosters a range of statistical models, namely parametric, semiparametric, and nonparametric models, thus requiring the use of goodness of fit tests toward the selection of that with the best match with post-event damage data. This approach was then succeeded by other studies, i.e., by Refs. [25,32] among the others. Therefore, the evaluation of the goodness-of-fit of the fragility functions, already applied in various studies ([33–38]), is performed using hypothesis testing via the Pearson Chi Squared test on ensuing damage probability matrices determined through the adopted statistical models.
Empirical fragility curves: The effect of uncertainty in ground motion intensity
2020, Soil Dynamics and Earthquake EngineeringTephra cushioning of ballistic impacts: Quantifying building vulnerability through pneumatic cannon experiments and multiple fragility curve fitting approaches
2019, Journal of Volcanology and Geothermal ResearchCitation Excerpt :The advantages and disadvantages of each method are given in Table 4 along with references containing detailed reviews and discussion on each of these statistical models and how they are used in fragility curve fitting. All curves presented in this study share the typical log-normal cumulative density function (CDF) form used for the vast majority of published parametric fragility curves (Rossetto and Ioannou, 2018). One reason the log-normal cumulative distribution is widely used, besides its precedence in previous work, is because it has numerous convenient characteristics for modelling fragility.
Remotely assessing tephra fall building damage and vulnerability: Kelud Volcano, Indonesia
2020, Journal of Applied VolcanologySeismic fragility for Italian RC buildings based on damage data of the last 50 years
2020, Bulletin of Earthquake Engineering