Probabilistic capacity models and seismic fragility estimates for RC columns subject to corrosion

Choe, Doeun; Gardoni, Paolo; Rosowsky, David V.; Haukaas, Terje

doi:10.1016/j.ress.2006.12.015

Cited by 221 publications

(106 citation statements)

References 9 publications

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“…This result may be inaccurate if the limitstate function is strongly nonlinear in the space of standard normal variables. Under such circumstances, the SORM and importance sampling are utilized to improve the FORM result; see details in [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20].…”

Section: Methodsmentioning

confidence: 99%

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Resilience of Civil Infrastructure by Optimal Risk Mitigation

Mahsuli

2016

Scientia Iranica

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Abstract. This paper puts forward a framework for optimal mitigation of regional risk to enhance the resilience of civil infrastructure. To meet this objective, probabilistic models, methods, and software are developed and applied. The work is conducted within a new reliability-based approach, in which reliability methods compute risk. This contrasts several contemporary approaches for risk analysis. Risk, in this context, denotes the probability of exceeding monetary loss. Evaluating such probabilities requires probabilistic models for hazards, response, damage, and loss. This motivates the following contributions in this paper. First, a new computer program is developed that is tailored to conduct reliability analysis with many interconnected probabilistic models. It orchestrates the interaction of models through an object-oriented architecture. Second, a library of probabilistic models for regional seismic risk analysis is developed. The library includes new models for earthquake location and magnitude and building response, damage, and loss. Third, probabilistic methods for multi-hazard risk analysis are developed and applied in a largescale regional analysis. The results are cost exceedance probabilities and insights into the seismic risk of the region. Finally, sensitivity measures are developed to identify the buildings whose retro t yields the most reduction in regional risk, i.e. the most resilience of the region.

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Section: Methodsmentioning

confidence: 99%

“…The FEMA-NIBS fragility curves were developed for the global response of the structure. However, many studies have focused on developing fragility curves for individual components of a building, such as columns [10].…”

Section: Introductionmentioning

confidence: 99%

Resilience of Civil Infrastructure by Optimal Risk Mitigation

Mahsuli

2016

Scientia Iranica

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“…Furthermore, many of these aging bridges are located in regions characterized by medium to high seismicity, spurring recent studies on the impact of aging and deterioration on seismic vulnerability (Choe et al 2008(Choe et al , 2009Padgett 2010, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…This integrated methodology is summarized in (Enright and Frangopol 1998;Ghosh and Padgett 2010) or from limited laboratory test data (Choe et al 2008(Choe et al , 2009). Hence, the field measured and interpolated deterioration parameters can be used to statistically update available probability distributions of aging parameters and make better predictions of seismic bridge fragilities.…”

Section: Introductionmentioning

confidence: 99%

Seismic Reliability Assessment of Aging Highway Bridge Networks with Field Instrumentation Data and Correlated Failures, I:Methodology

et al. 2014

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The state-of-the-practice in seismic network reliability assessment of highway bridges often ignores bridge failure correlations imposed by factors such as the network topology, construction methods, and present-day condition of bridges, amongst others. Additionally, aging bridge seismic fragilities are typically determined using historical estimates of deterioration parameters. This research presents a methodology to estimate bridge fragilities using spatially interpolated and updated deterioration parameters from limited instrumented bridges in the network, while incorporating the impacts of overlooked correlation factors in bridge fragility estimates. Simulated samples of correlated bridge failures are used in an enhanced Monte Carlo method to assess bridge network reliability, and the impact of different correlation structures on the network reliability is discussed. The presented methodology aims to provide more realistic estimates of seismic reliability of aging transportation networks and potentially helps network stakeholders to more accurately identify critical bridges for maintenance and retrofit prioritization.

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“…Moreover, in recent years, several researchers have studied the seismic vulnerability and fragility analysis of corroded RC bridges (Alipour et al, 2011;Choe et al 2008;Ghosh and Padgett, 2010). They have investigated the effect of reinforcement corrosion on the nonlinear behaviour and response of RC bridges subject to seismic loading.…”

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confidence: 99%