Seismic Performance Evaluation of Facilities: Methodology and Implementation

Yang, T. Y.; Moehle, Jack P.; Stojadinović, Božidar; Kiureghian, Armen Der

doi:10.1061/(asce)0733-9445(2009)135:10(1146)

Cited by 245 publications

(169 citation statements)

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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%

“…At the core of this approach, the theorem of total probability is employed in the form of a triple integral, known as PEER framing equation. Nearly a decade later, Yang et al [13] proposed a samplingbased approach to evaluate the integral. Several other research institutions have developed similar formulations, such as the Mid-America Earthquake Center [14] among others.…”

Section: Introductionmentioning

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%

Section: Introductionmentioning

confidence: 99%

Resilience of Civil Infrastructure by Optimal Risk Mitigation

Mahsuli

2016

Scientia Iranica

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“…In this study, only direct monetary losses (i.e., repair costs) were considered. Further details on the procedure can be found elsewhere (e.g., [11,39,40]). …”

Section: Loss Analysismentioning

confidence: 99%

“…In particular, to solve PEER equation integral, a Monte Carlo procedure was adopted. According to Yang et al [39] and FEMA P-58 [11], the Monte Carlo approach uses inferred statistical distributions of building response obtained from limited suites of analyses to generate additional response parameters (EDP) that properly incorporate the effects of modeling uncertainty along with ground motion uncertainty [39]. In this study, 500 realizations were performed for each intensity level.…”

Section: Evaluation Of Repair Costsmentioning

confidence: 99%