Structural fragility of T-joint connections in large-scale piping systems using equivalent elastic time-history simulations

Tadinada, Sashi Kanth; Gupta, Abhinav

doi:10.1016/j.strusafe.2016.12.003

Cited by 11 publications

(5 citation statements)

References 12 publications

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“…During the past three decades, various experimental projects (ANCO, 1983;Badillo-Almaraz et al, 2007;Blasi et al, 2018Blasi et al, , 2021Brandolese et al, 2019;Fiorin et al, 2021;Gilani et al, 2013;Jenkins et al, 2017;Ju and Gupta, 2015;Rahmanishamsi et al, 2014;Ryu and Reinhorn, 2013;Soroushian et al, 2012Soroushian et al, , 2016cTadinada and Gupta, 2017;Tian et al, 2014;Zaghi et al, 2012;Zhou et al, 2021) and multiple numerical works (Echevarria et al, 2012;Fiorin et al, 2021;Perrone et al, 2020;Ryu and Reinhorn, 2017;Soroushian et al, 2014cTian et al, 2015;Zaghi et al, 2016) were performed on CP systems. However, because of the complexity of these two systems, previous numerical studies were found to be less reliable compared to full-scale experiments.…”

Section: Introductionmentioning

confidence: 99%

Experimental-based numerical simulation of interacting suspended ceiling-sprinkler piping systems

Soroushian,

Rezvani,

Zaghi

et al. 2024

Earthquake Spectra

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Suspended ceiling and fire sprinkler piping (CP) systems are two of the most common interacting nonstructural elements inside the buildings. While each of these elements individually is prone to losses during the earthquakes, their interaction can even more intensify their associated damage. This article aims to integrate system-level modeling methodology by using existing subsystem-level models in OpenSees platform to simulate the interacting behavior of CP systems. To do so, the numerical model of the CP systems is developed by using a series of previously developed component-level nonlinear models. Experimental results from a shake table study of CP systems installed in a five-story building (fully scaled) are used for the validation of the proposed methodology. Experimental acceleration and displacement responses of CP systems at different locations as well as the damage-progression pattern in the suspended ceiling system are predicted well through the use of the proposed modeling technique.

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Section: Introductionmentioning

confidence: 99%

Experimental-based numerical simulation of interacting suspended ceiling-sprinkler piping systems

Soroushian,

Rezvani,

Zaghi

et al. 2024

Earthquake Spectra

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“…Among the various other methods not mentioned in this short introduction, the Bayesian framework has recently become increasingly popular in seismic fragility analysis (see e.g. [7,16,[22][23][24][25][26][27][28]). It actually allows to solve irregularity issues encountered in the estimation of the parametric fragility curves.…”

Section: Introductionmentioning

confidence: 99%

“…In earthquake engineering, Bayesian inference is often used to update log-normal fragility curves obtained beforehand by various approaches, by assuming independent distributions for the prior values of α and β such as log-normal distributions (see e.g. [11,16,22,25,26]).…”

Section: Introductionmentioning

confidence: 99%

Influence of the Choice of the Seismic Intensity Measure on Fragility Curves Estimation in a Bayesian Framework Based on Reference Prior

Van Biesbroeck,

Gauchy,

Feau

et al. 2023

5th International Conference on Uncertainty Quantification in Computational Sciences and Engineering

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Seismic fragility curves are key quantities of the Seismic Probabilistic Risk Assessment studies carried out on industrial facilities. They express the probability of failure of a mechanical structure conditional to a scalar value derived from the seismic ground motion called Intensity Measure (IM). Estimating such curves is a daunting task because for most structures of interest few data are available. For this reason, some methods of the literature rely on the use of the parametric log-normal model coupled with Bayesian approaches for parameter estimation. We are interested in this work in binary datasets (failure or not failure) and we investigate the influence of the choice of the prior and of the IM -Peak Ground Acceleration vs. Pseudo Spectral Acceleration -on the convergence of the estimates for a given seismic scenario. We show that Bayesian fragility curve estimation results based on Jeffreys' prior outperform the ones based on classical priors whatever the IM. We also show that, when an IM is more correlated to the structural response, the differences between the results obtained with the different priors are less marked. They testify to the fact that an IM more correlated to the response of the structure induces a lower variability of the estimate of the median of the log-normal model. This is not the case for the log standard deviation whose estimate is affected by samples which are more degenerate with this kind of IM, namely which are partitioned into two disjoint subsets when classified according to IM values: the subset for which there is no failure and the other one for which there is failure, these two subsets possibly being present in the same sample or separately. Such degeneracy affects all methods to varying degrees, but with Jeffreys' prior the results are clearly better, attesting to its robustness against such inevitable situations in practice. 94UNCECOMP 2023 5 th ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Science and Engineering M. Papadrakakis, V. Papadopoulos, G. Stefanou (eds.

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“…However, the problem arises that a piping seismic fragility analysis based on the nonlinear seismic response analysis of the building-piping coupled numerical model requires a number of nonlinear analyses to be performed to take into account the uncertainty of the earthquake and the model, which results in a large computational cost. Accordingly, Tadinada and Gupta [24] proposed the equivalent elastic limit state (ELS) concept and related closed-form equation and developed a seismic fragility analysis method based on linear seismic response analysis and this ELS equation. Recently, Kwag and Gupta [25] proposed a novel closed-form equation by improving the accuracy of the existing ELS equation and developed an effective seismic fragility analysis method that is suitable for the secondary structural system.…”

Section: Introductionmentioning

confidence: 99%

Efficient Seismic Fragility Analysis for Large-Scale Piping System Utilizing Bayesian Approach

Kwag

Ryu

2020

Applied Sciences

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In the event of an earthquake, it is essential to accurately assess the seismic fragility of piping systems to ensure the continued safety of society. When evaluating the seismic fragility of a piping system, which is generally a secondary structural system, this should mainly be an integrated model that includes both the primary structural frames and the secondary ones, unlike the primary structural system of a building. Hence, the piping seismic fragility evaluation has an issue in that it takes considerable computational time because numerical analyses must be performed on a relatively complex model. Given this background, the purpose of this study is to propose an efficient piping seismic fragility analysis method by utilizing the existing seismic fragility analysis method and the Bayesian updating concept. In order to verify the validity of the proposed method, it was applied to a building–piping coupled structural system example, and its results were analyzed and compared with the results of the existing method in terms of accuracy and efficiency. As a result, the proposed method showed a similar accuracy compared with the existing method while significantly reducing the numerical cost of nonlinear seismic response analyses necessary for these results.

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Structural fragility of T-joint connections in large-scale piping systems using equivalent elastic time-history simulations

Cited by 11 publications

References 12 publications

Experimental-based numerical simulation of interacting suspended ceiling-sprinkler piping systems

Experimental-based numerical simulation of interacting suspended ceiling-sprinkler piping systems

Influence of the Choice of the Seismic Intensity Measure on Fragility Curves Estimation in a Bayesian Framework Based on Reference Prior

Efficient Seismic Fragility Analysis for Large-Scale Piping System Utilizing Bayesian Approach

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