Structural Engineering Research Frontiers 2007
DOI: 10.1061/40944(249)23
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Practical Development and Application of Fragility Functions

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Cited by 29 publications
(20 citation statements)
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References 8 publications
(7 reference statements)
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“…The probability density function of R, also known as the fragility function, follows a lognormal distribution characterized by its logarithmic mean and standard deviation [12,13]. In other words, the probability density function may be represented by a lognormal distribution as in Eq.…”
Section: Fragility Functionmentioning
confidence: 99%
See 1 more Smart Citation
“…The probability density function of R, also known as the fragility function, follows a lognormal distribution characterized by its logarithmic mean and standard deviation [12,13]. In other words, the probability density function may be represented by a lognormal distribution as in Eq.…”
Section: Fragility Functionmentioning
confidence: 99%
“…(15) depends on the hazard analysis for a specific area and the statistics of resistance in terms of logarithmic mean λ and logarithmic standard deviation ξ. The values of ξ depend on record-to-record variation, the amount of data used in the analysis, material variability, and the structure model error given by [13].…”
Section: Io Smrfs Io Imrfs Ls Smrfs Ls Imrfs Cp Smrfs Cp Imrfsmentioning
confidence: 99%
“…Fragility functions are probability distributions that are used to indicate the probability that a component, element or system will be damaged to a given or more severe damage state as a function of a single predictive demand parameter, such as storey drift or floor acceleration (Porter, Hamburger and Kennedy 2007). In earthquake engineering, global collapse, which is considered in this study, refers to the instability of a structural system to sustain gravity loads in the presence of seismic effects.…”
Section: Collapse Fragility Curvementioning
confidence: 99%
“…Liel andLynch 2012 and, and, then, to implement a Bayesian updating of those fragility functions by including the additional information provided by the new data (e.g., Miano et al 2016). The regression parameters of the new earthquake data are employed, providing a novel interpretation of the consolidated Bayesian update of fragilities with respect to other studies (e.g., Singhal and Kiremidjian 1998;Porter et al 2007a;Jaiswal et al 2011;Miano et al 2016).…”
Section: Introductionmentioning
confidence: 99%