Seismic Fragility Relationships for Structures

DiSarno, L.; Elnashai, Amr S.

doi:10.1007/978-3-030-68813-4_9

Cited by 3 publications

(1 citation statement)

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“…The real values of u and b are unknown, so they must be estimated using statistical procedures. For instance, in a cloud analysis, the b is evaluated as the standard deviation of a logarithmic linear regression between the IM and DM, and u as the median value of the IM distribution (Di Sarno and Elnashai, 2021). More information about typical methods available to compute fragility functions for structural and infrastructural systems are provided by Baker (2015).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the optimal ground motion intensity measure in the prediction of the seismic vulnerability of earth dams

et al. 2023

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The large majority of existing earth dams were designed with old standards, which often accounted for the effects of earthquakes in a simplified manner. As a result, seismic re-evaluation of these structures is now becoming increasingly important for dam owners. The seismic performance of earth dams can be evaluated at different levels of resolution, typically ranging from simple sliding block analysis, to the use of advanced numerical models. Seismic inputs for these models are typically chosen using code-based or site-specific probabilistic seismic hazard analysis (PSHA). In this study, we analyze the seismic vulnerability of two major earth dams located in Southern Italy, a seismically active area. The two dam systems have different geotechnical characteristics: one of them is founded on potentially liquefiable materials, whereas the other one is not susceptible to liquefaction. Our analyses are based on finite difference numerical simulations using both simplified and advanced constitutive models. Seismic vulnerability of both dams is analyzed by means of analytical fragility functions for various damage mechanisms and ground motion intensity measures (IMs). Such fragility functions are based on nonlinear deformation analyses within the multiple stripe analysis framework. We analyze efficiency and predictability of various IMs in predicting different damage levels and mechanisms. We show that the cumulative absolute velocity is overall the optimal IM in predicting vulnerability of both earth dams. We also analyze the relative importance of PSHA inputs (i.e. alternative ground motion and earthquake rupture forecast models; GMMs and ERFMs, respectively) and numerical models (simplified vs advanced) in the seismic analysis of earth dams by means of tornado diagrams. We show that the choice of GMMs and ERFMs is always more important than that of the constitutive model. However, for dams prone to liquefaction, the choice of the constitutive model has a higher importance than for non-liquefiable earth dams.

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Section: Introductionmentioning

confidence: 99%