Engineering Demand Parameters for Cumulative Damage Estimation in URM and RC Buildings

Iñarritu, P. García de Quevedo; Šipčić, Nevena; Bazzurro, Paolo

doi:10.1007/978-3-031-36562-1_5

Cited by 1 publication

(1 citation statement)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It has also been suggested that, due to this variability, displacement-based thresholds may have to be adjusted for the purposes of state-dependent fragility definition, 37 or more elaborate 𝐸𝐷𝑃𝑠 should be used instead. 38 In this study, the amount of residual displacement is also involved in the damage measure for state-dependent fragility assessment, by assuming that the transition thresholds from damage state 𝐷𝑆 𝑖 to 𝐷𝑆 𝑗 can be obtained as:…”

Section: State-dependent Seismic Structural Fragilitymentioning

confidence: 99%

Simplified state‐dependent seismic fragility assessment

Orlacchio,

Baltzopoulos,

Iervolino

2024

Earthq Engng Struct Dyn

View full text Add to dashboard Cite

Earthquakes are clustered in time and space; therefore, structures may be subjected to multiple consecutive instances of potentially damaging shaking, with insufficient in‐between time for repair operations to take place. Methodologies to evaluate the risk dynamics in this situation require vulnerability models that are able to capture the transitions between damage states, from the intact conditions to failure, due to multiple damaging earthquakes, that is, state‐dependent fragility curves. One of the state‐of‐the‐art methods for the assessment of structure‐specific state‐dependent fragility curves relies on a variant of incremental dynamic analysis (IDA), which is often termed back‐to‐back or B2B‐IDA. The computational costs typically involved in B2B‐IDA motivate attempts to simplify the evaluation of state‐dependent fragility curves. This paper presents a simplified method for multi‐story moment‐resisting frame structures, based on pushover analysis in conjunction with a predictive model for the main features of a damaged structural system, such as residual deformations and loss of stiffness and/or strength. The predictive model enables the probabilistic definition of the post‐earthquake pushover curve of a damaged structural system, given the displacement demand imposed by a preceding damaging shock. The state‐dependent fragility curves are then evaluated via IDA of single‐degree‐of‐freedom oscillators based on these pushover curves. Illustrative applications validate the ability of the proposed methodology to provide state‐dependent fragilities with reduced computational costs compared to the back‐to‐back IDA method.

show abstract

Section: State-dependent Seismic Structural Fragilitymentioning

confidence: 99%