Generation of new fragility curves for common types of buildings in Iran

Tafti, Mehdi Fallah; Hosseini, Kambod Amini; Mansouri, Behzad

doi:10.1007/s10518-020-00811-5

Cited by 29 publications

(8 citation statements)

References 23 publications

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“…In the expert judgment approach, experts are asked to estimate damage probability for different seismic response levels for a given structure or component based on their knowledge and experience [34][35][36][37].…”

Section: P(ds = Dsmentioning

confidence: 99%

Development of Exclusive Seismic Fragility Curves for Critical Infrastructure: An Oil Pumping Station Case Study

Urlainis

Shohet

2022

Buildings

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Fragility curves are a common tool to appraise the expected damage to critical infrastructure (CI) after an earthquake event. Previous studies offer fragility curve parameters for CI that are suitable for a vast range of systems, without an in-depth examination of the system architecture and subcomponents. These curves are applicable in cases where a thorough analysis is not required or when the information related to a single system is poor. This paper proposes an original approach and presents a comprehensive methodology for developing exclusive fragility curves for critical infrastructure systems. In the proposed methodology, the fragility curves are developed by a decomposition of the system into its main subcomponents and determination of the failure mechanisms. The derivation of the fragility parameters includes failure analysis for each damage state by a Fault Tree Analysis and approximation of the fragility parameters in accordance with the rate of exceedance. The implementation of the methodology is demonstrated by a case study with three alternatives of an oil pumping plant configuration. It was found that a change of a subcomponent has an effect on the derived values of the fragility parameters. Moreover, the variances in the fragility parameters have implications for the effectiveness of each alternative to resist different levels of severity.

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Section: P(ds = Dsmentioning

confidence: 99%

Development of Exclusive Seismic Fragility Curves for Critical Infrastructure: An Oil Pumping Station Case Study

Urlainis

Shohet

2022

Buildings

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“…Several studies based on empirical and analytical methods established fragility and vulnerability curves for the typical Iranian building stock (Fallah Tafti et al 2020;Ghayamghamian and Khanzadeh 2008;Ghodrati Amiri et al 2014;Hisada et al 2005;Hosseini and Majd 2011;JICA 2000;Kazemi et al 2013;Mostafaei and Kabeyasawa 2004;Ranjbaran and Hosseini 2012;Shabakhti and Biari 2013;Tavakoli and Favakoli 1993;Tobita et al 2007). One of the earliest studies Tavakoli and Favakoli (1993), derived empirical fragility curves based on the building damage data from the M7.4 Manjil-Rudbar 1990 earthquake.…”

Section: Fragility and Vulnerability Analysesmentioning

confidence: 99%

Seismic risk and loss estimation for the building stock in Isfahan. Part I: exposure and vulnerability

Kohrangi

Bazzurro

Vamvatsikos

2021

Bull Earthquake Eng

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This paper focuses on the exposure and fragility/vulnerability of the residential, mixed residential/commercial, and public building stock of the city of Isfahan, in Central Iran, and constitutes the first part of a seismic risk assessment study for that city. To determine the assets at risk, we first summarize the details of the building stock and population from the available georeferenced 2011 Census data. From this dataset and from a local survey of the city, we categorize the building taxonomy in 27 construction classes characterized by age, height, and material/lateral-load-resisting system. A building exposure model is then assembled by first dividing Isfahan in city blocks and then by assigning the appropriate statistical properties to the buildings, such as construction class, built area, and replacement cost. The population of each city block is also estimated and accounted for. To assess the fragility and vulnerability to earthquake ground motion, for each building class we performed nonlinear dynamic analysis of multiple equivalent single-degree-of-freedom systems. This process generated a set of classand region-specific fragility and vulnerability functions that considered both record-to-record and building-to-building response variability. In the companion paper we used the exposure model and the fragility and vulnerability curves generated for all these asset classes to probabilistically assess the seismic risk of Isfahan.

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“…In addition, fragility curves provide details on the potential loss resulting from the specific intensity of an earthquake. Different procedures are available in the literature for developing fragility curves [18,43,[49][50][51][52][53]. This research uses the pushover curve to generate the fragility curves to assess seismic vulnerability.…”

Section: Fragility Analysismentioning

confidence: 99%

Seismic vulnerability assessment and fragility curves for a multistorey gallery arch bridge

Shimpi¹,

Sivasubramanian²,

Singh

et al. 2021

SN Appl. Sci.

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The masonry bridges on the Kalka Shimla Mountain Railway line, which have multiple arch galleries in the form of Roman aqueducts, are spectacular. The Kalka Shimla Mountain Railway line is situated in severe seismic zones (Indian Standard 1893:2016). This research assesses the seismic vulnerability of masonry arch Bridge No. 541 situated on the Kalka Shimla Mountain Railway line. This bridge is the tallest on the route. In particular, it assesses the seismic vulnerability of the bridge using finite element (FE) analysis. For this purpose, an FE model for the bridge is developed using the ABAQUS FE-based environment. The experimental field study conducted on the bridge using an ambient vibration test (AVT) and dynamic parameters (frequency and mode shapes) is evaluated by operational modal analysis (OMA). Further, the FE model is updated by modifying the elastic mechanical property of the stone masonry to match the analytical modal frequency with the results of the AVT and OMA. The updated model is then used to perform a pushover analysis and nonlinear dynamic analysis to estimate the seismic performance of the bridge. Furthermore, fragility curves are developed for the bridge to estimate the damage state for specific seismicity. The study shows that the bridge is vulnerable to Zone IV seismicity and needs some retrofitting in specific locations such as the pier–abutment joints.

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Generation of new fragility curves for common types of buildings in Iran

Cited by 29 publications

References 23 publications

Development of Exclusive Seismic Fragility Curves for Critical Infrastructure: An Oil Pumping Station Case Study

Development of Exclusive Seismic Fragility Curves for Critical Infrastructure: An Oil Pumping Station Case Study

Seismic risk and loss estimation for the building stock in Isfahan. Part I: exposure and vulnerability

Seismic vulnerability assessment and fragility curves for a multistorey gallery arch bridge

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