Seismic fragility analysis of large unanchored steel tanks considering local instability and fatigue damage

Cortes, Gustavo; Prinz, Gary S.

doi:10.1007/s10518-016-9984-6

Cited by 26 publications

(8 citation statements)

References 15 publications

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“…58,61,62 While several reduced-order models are available in the literature regarding the seismic response of liquid storage tanks, the vast majority ignores the effect of the vertical ground motion component, focusing only on the application of the horizontal one(s). [63][64][65][66][67][68][69] Contributions that account for the vertical ground motion component in the response of liquid storage tanks are included in a handful of studies. [70][71][72][73][74] A common parameter among them is that they exclusively refer to anchored support conditions and the majority of available solutions assume elastic material properties for the tank shell.…”

Section: Modelling Approach and Structural Responsementioning

confidence: 99%

Hazard consistent record selection procedures accounting for horizontal and vertical components of the ground motion: Application to liquid storage tanks

Kohrangi¹,

Bakalis

Triantafyllou³

et al. 2023

Earthq Engng Struct Dyn

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A methodology is proposed to enable state-of-the-art record selection using ground motion components in all three principal loading directions. Relying on the well-established Conditional Spectrum approach, its fundamental concepts are extended to ensure hazard consistency when the vertical ground motion component is considered along with the horizontal ones. To this end, different record selection techniques are employed, spanning sets of ground motion records with and without vertical motions, as well as with and without vertical ground motion hazard consistency. To demonstrate the effect that each record set can potentially have on a structure, an unanchored liquid storage tank is adopted as a case study, because of the vertical uplift motion it can exhibit, even under the application of horizontal loading only. A reduced-order structural model is employed to generate the numerical output via multi-stripe analysis, thus enabling the evaluation of the pertinent record selection approaches. Focusing on uplift and compressive meridional stress, response ratios and response hazard curves are extracted. It is shown that although the vertical ground motion component only mildly affects uplift, its effect on compressive meridional stress, on average, amplifies the response by a factor of 1.8 for moderate intensities and 2.8 for higher ones.

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Section: Modelling Approach and Structural Responsementioning

confidence: 99%

Hazard consistent record selection procedures accounting for horizontal and vertical components of the ground motion: Application to liquid storage tanks

Kohrangi¹,

Bakalis

Triantafyllou³

et al. 2023

Earthq Engng Struct Dyn

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“…For some of the tanks, the thickness was not documented in the post-earthquake report in reference [22]. The thickness of these tanks was estimated based on the work of Cortes and Prinz [24]. Similarly, for some earthquake events, the PGA was not reported, and it was estimated based on the location of the tank and the corresponding ground motion records [25].…”

Section: Dataset Description and Features Extractionmentioning

confidence: 99%

A Neural Network-Based Approach for Seismic-Induced Damage Assessment of Steel Liquid Storage Tanks

Micheli¹,

Faytarouni²

2021

Proceedings of the 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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Surrogate models, including neural network (NN), machine learning, and Kriging, are used in various fields to reduce the computational demand of risk assessment and uncertainty analysis. In civil engineering applications, surrogate models are usually trained on synthetic data generated with numerical simulation models, which might yield approximate responses and significant computational burdens. Post-disaster reconnaissance observations represent an alternative source of data that could be used to train a surrogate model without the need for numerical models. However, the limited number of reconnaissance observations available in the literature might yield challenges, such as unbalanced data distributions. This paper presents a surrogate-based approach for seismic-induced damage prediction, where postearthquake reconnaissance data are exploited to train a NN model. The approach is demonstrated on steel liquid storage tanks. Field data from past earthquake reconnaissance reports are first collected. Then, features representative of tank characteristics, seismic hazard parameters, and seismic-induced damage are extracted. A traditional two-layers NN model is built to map the relationship between tank characteristics, seismic hazard parameters, and seismic-induced damage. To tackle the challenge of unbalanced dataset, a cascade NN approach is proposed. In the cascade approach, two NN models are employed to predict the damage level of the steel tanks. The first NN returns a binary classification of the tank damage (i.e., damage, no damage). If the tank results damaged, a second NN identifies the level of damage (i.e., minor, severe, collapse). The performance of traditional and cascade NN approaches is compared using different metrics. Results demonstrate that the cascade NN strategy leads to more accurate damage predictions than the traditional NN approach.

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“…Salzano et al (2003) or (2) analytical approaches covering single failure modes that use simplified or refined models for fluid-structure interaction modelling, e.g. Iervolino et al (2004), Buratti and Tavano (2014), , (2017), Cortes and Prinz (2017) and Phan et al (2019). Regarding analytical approaches, fragility functions are derived using the results of nonlinear dynamic analyses of structural models; therefore, the accuracy of fragility functions strongly depends on the reliability of relevant models.…”

Section: Background and Motivationmentioning

confidence: 99%

Seismic vulnerability of above-ground storage tanks with unanchored support conditions for Na-tech risks based on Gaussian process regression

Phan

Paolacci

Filippo

et al. 2020

Bull Earthquake Eng

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This paper aims to investigate the seismic vulnerability of an existing unanchored steel storage tank ideally installed in a refinery in Sicily (Italy), along the lines of performance-based earthquake engineering. Tank performance is estimated by means of component-level fragility curves for specific limit states. The assessment is based on a framework that relies on a three-dimensional finite element (3D FE) model and a low-fidelity demand model based on Gaussian process regression, which allows for cheaper simulations. Moreover, to approximate the system response corresponding to the random variation of both peak ground acceleration and liquid filling level, a second-order design of experiments method is adopted. Hence, a parametric investigation is conducted on a specific existing unanchored steel storage tank. The relevant 3D FE model is validated with an experimental campaign carried out on a shaking table test. Special attention is paid to the base uplift due to significant inelastic deformations that occur at the baseplate close to the welded baseplate-to-wall connection, offering extensive information on both capacity and demand. As a result, the tank performance is estimated by means of component-level fragility curves for the aforementioned limit state which are derived through Monte Carlo simulations. The flexibility of the proposed framework allows fragility curves to be derived considering both deterministic and random filling levels. The comparison of the seismic vulnerability of the tank obtained with probabilistic and deterministic mechanical models demonstrates the conservatism of the latter. The same trend is also exhibited in terms of risk assessment.

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Seismic fragility analysis of large unanchored steel tanks considering local instability and fatigue damage

Cited by 26 publications

References 15 publications

Hazard consistent record selection procedures accounting for horizontal and vertical components of the ground motion: Application to liquid storage tanks

Hazard consistent record selection procedures accounting for horizontal and vertical components of the ground motion: Application to liquid storage tanks

A Neural Network-Based Approach for Seismic-Induced Damage Assessment of Steel Liquid Storage Tanks

Seismic vulnerability of above-ground storage tanks with unanchored support conditions for Na-tech risks based on Gaussian process regression

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