Probabilistic Capacity Models and Fragility Estimates for Reinforced Concrete Columns based on Experimental Observations

Gardoni, Paolo; Kiureghian, Armen Der; Mosalam, Khalid M.

doi:10.1061/(asce)0733-9399(2002)128:10(1024)

Cited by 570 publications

(283 citation statements)

References 9 publications

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“…Selecting an appropriate pair of IM and DM is a difficult task, as the PSDM results are practically sufficient and efficient (Gardoni et al 2002(Gardoni et al , 2003. In the current study, response history analyses (RHAs) are used to quantify the seismic demand of the reference structures.…”

Section: Probabilistic Demand Modelsmentioning

confidence: 99%

The influence of coupled horizontal–vertical ground excitations on the collapse margins of modern RC-MRFs

Farsangi

Tasnimi

2016

Int J Adv Struct Eng

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With the increasing interest in vertical ground motions, the focus of this study is to investigate the effect of concurrent horizontal-vertical excitations on the seismic response and collapse fragilities of RC buildings designed according to modern seismic codes and located near active faults. It must be stressed that only mid-to high-rise buildings are of significant concern in the context of this research. The considered structures are categorized as intermediate and special RC-MRFs and have been remodeled using distributed and lumped plasticity computational approaches in nonlinear simulation platforms, so that the utilized NL models can simulate all possible modes of deterioration. For better comparison, not only was the combined vertical and horizontal motion applied, but also a single horizontal component was considered for direct evaluation of the effect of the vertical ground motions (VGMs). At the member level, axial force variation and shear failure as the most critical brittle failure mechanisms were studied, while on the global level, adjusted collapse margin ratios (ACMRs) and mean annual frequency of collapse (k Collapse ) using a new vector-valued intensity measure were investigated. Findings from the study indicate that VGMs have significant effects on both local and global structural performance and cannot be neglected.

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Section: Probabilistic Demand Modelsmentioning

confidence: 99%

The influence of coupled horizontal–vertical ground excitations on the collapse margins of modern RC-MRFs

Farsangi

Tasnimi

2016

Int J Adv Struct Eng

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“…One approach is the development of linear models by Bayesian inference, as described by Box and Tiao [31]. Gardoni et al [32] applied this approach to reinforced concrete members in the context of seismic risk. This approach is appealing because the resulting models meet the conditions required for use in a relia- bility analysis.…”

Section: Modelsmentioning

confidence: 99%

“…The models in Eqs. (2) and (3) originally included damping and overstrength as regressors, but they were omitted in a stepwise modeling process as described by Gardoni et al [32]. The parameter v in the response model is a decision variable that indicates the amount of increase in the lateral strength of the building as a result of seismic retro t. This parameter will later be employed to prioritize buildings in a portfolio for retro t actions.…”

Section: Building Response Modelmentioning

confidence: 99%

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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“…Graphical representations of seismic fragility as functions of vector intensity measures are called fragility surfaces. They provide the same information as fragility curves, that is, probabilities of exceedance of limiting engineering design parameters, but are calculated as functions of two-dimensional vector-valued intensity measures (Gardoni et al 2002). For example, fragility surfaces have been constructed as functions of the absolute maxima of the ground-motion metrics, such as peak ground-acceleration, velocity or displacement (Seyedi et al 2009;Gehl et al 2013); spectral ordinates at distinct structural periods (Gehl et al 2011); or structure-specific parameters such as imposed drift and aspect ratio (Yazdi et al 2016).…”

Section: Introductionmentioning

confidence: 99%

An earthquake-source-based metric for seismic fragility analysis

Radu

Grigoriu

2018

Bull Earthquake Eng

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The seismic fragility of a system is the probability that the system enters a damage state under seismic ground motions with specified characteristics. Plots of the seismic fragilities with respect to scalar ground motion intensity measures are called fragility curves. Recent studies show that fragility curves may not be satisfactory measures for structural seismic performance, since scalar intensity measures cannot comprehensively characterize site seismicity. The limitations of traditional seismic intensity measures, e.g., peak ground acceleration or pseudo-spectral acceleration, are shown and discussed in detail. A bivariate vector with coordinates moment magnitude m and source-to-site distance r is proposed as an alternative seismic intensity measure. Implicitly, fragility surfaces in the (m, r)-space could be used as graphical representations of seismic fragility. Unlike fragility curves, which are functions of scalar intensity measures, fragility surfaces are characterized by two earthquake-hazard parameters, (m, r). The calculation of fragility surfaces may be computationally expensive for complex systems. Thus, as solutions to this issue, a bi-variate log-normal parametric model and an efficient calculation method, based on stochastic-reduced-order models, for fragility surfaces are proposed.

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Probabilistic Capacity Models and Fragility Estimates for Reinforced Concrete Columns based on Experimental Observations

Cited by 570 publications

References 9 publications

The influence of coupled horizontal–vertical ground excitations on the collapse margins of modern RC-MRFs

The influence of coupled horizontal–vertical ground excitations on the collapse margins of modern RC-MRFs

Resilience of Civil Infrastructure by Optimal Risk Mitigation

An earthquake-source-based metric for seismic fragility analysis

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