Uncoupled multivariate power models for estimating performance-based seismic damage states of column curvature ductility

Zhong, Jue; Ni, Ming; Hu, Huiming; Yuan, Wancheng; Yuan, Huixin; Pang, Yutao

doi:10.1016/j.istruc.2021.12.041

Cited by 66 publications

(15 citation statements)

References 30 publications

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“…Step 3: Select appropriate ground motions, which will be scaled to target IM values with limited scale factor Menegotto-Pinto model (Filippou et al, 1983) is used to simulate the steel reinforcements, of which the yield strength and the modulus of elasticity are 335 and 2.1 3 10 5 MPa, respectively. The confinement effect of transverse stirrups is also incorporated based on the reinforcement detailing, and the maximum compressive stress and the ultimate strain of the core concrete are increased to manifest this effect (Zhong et al, 2022). Moreover, 5% Rayleigh damping is employed for the nonlinear time-history analysis.…”

Section: Psdm and Fragility Analysismentioning

confidence: 99%

E-Cloud: Efficient seismic fragility assessment of structures based on enhanced cloud analysis

2022

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Cloud analysis is based on linear regression in the logarithmic space using least squares, in which a large number of nonlinear dynamic analyses are required to ensure the regression accuracy. Thus, it needs significant computational effort to derive fragility curves especially for the complicated structures. This article proposed the Enhanced Cloud approach (E-Cloud) to enhance the efficiency but maintain the accuracy of Cloud analysis. The basic concept of the E-Cloud method aims to utilize both maximum and additional seismic responses with corresponding intensity measures (IMs) from ground motions for the logarithmic linear regression in Cloud analysis. The additional seismic responses can be obtained from the engineering demand parameter (EDP)-IM curve, which is generated at the specific time duration when structures are subjected to intensifying dynamic excitations in nonlinear time–history analysis. The required number of nonlinear time–history analyses in Cloud analysis is reduced since additional seismic responses (with their corresponding IM value) are used as additional Cloud points for the Cloud regression. The proposed E-Cloud method is applied for the case study of a typical reinforced concrete (RC) frame structure. By comparison of probabilistic seismic demand models and fragility curves from the E-Cloud method to Cloud analysis, it is demonstrated that the proposed E-Cloud method can significantly improve the computational efficiency of the Cloud analysis, which also leads to accurate fragility estimates of the structures.

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Section: Psdm and Fragility Analysismentioning

confidence: 99%

E-Cloud: Efficient seismic fragility assessment of structures based on enhanced cloud analysis

2022

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“…e double deck adopts an orthotropic deck. e width of the upper orthotropic deck varies from 24 m to 37 m due to functional requirements [19][20][21][22][23][24][25][26][27]. e tower is shaped like a "Tissot shape" with a height of 182 m and is made of C50 concrete.…”

Section: Project Overview Of the Bridgementioning

confidence: 99%

Investigation on Seismic Response of Long‐Span Special Steel Truss Cable‐Stayed Bridge

Zeng

2022

Advances in Civil Engineering

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Due to the small self-weight of the steel truss cable-stayed bridge with a single tower and a single cable plane, the torsional stiffness and wind stability of the structure are reduced. The arrangement of the deck type makes the mechanical properties of the cable-stayed bridge more complicated while reducing the cost and increasing the aesthetics. The effects of structural parameter variations and traveling wave effects on the seismic response of this steel truss cable-stayed bridge with a single tower and a single cable plane were investigated by the nonlinear time-history analysis method and nonuniform seismic analysis method. The results show that the displacement of the floating system under seismic action is larger than the other three systems, but its internal force is significantly smaller than the other three systems. The spectral characteristics and the duration of ground shaking have a greater influence on the maximum bending moment values corresponding to the height of the cable tower and the maximum axial force values of the main girder bars corresponding to the length of the bridge under earthquake action. The effect of steel truss girder stiffness parameter variations on structural internal forces of bridges and the effect of traveling wave effects on structural displacements of bridges in specific apparent wave velocity intervals do not exist universally.

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“…As clearly outlined in literature their specific seismic fragility depends on interplay of structural components (e.g. columns, piers decks and bearings), and therefore there is a need for component identification and performance analysis 28 , 29 . Accordingly, a preliminary study 30 collated all relevant parameters of the bridges in the case study area by investigating design documents and, where such data was unavailable, referring to satellite imagery provided by Google Earth.…”

Section: Data Acquisition Data Harmonisation and Bn Quantificationmentioning

confidence: 99%

Urban seismic resilience mapping: a transportation network in Istanbul, Turkey

Byun

D’Ayala

2022

Sci Rep

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When a seismic event occurs, transportation networks play a critical role in undertaking emergency activities such as evacuation and relief supply. Accordingly, to secure their functionality, it is essential to accurately assess their resilience. In particular, this study performs a rigorous probabilistic analysis on the seismic resilience of a transportation network in Istanbul, Turkey. The analysis accuracy is enhanced by considering, along with the structural damage of roadways, the additional disruption mode of network performance caused by the debris falling from damaged objects in their vicinity. Moreover, we obtain the results as a map of resilience measure, which enables us to investigate the disruption inequality across the study area and identify critical factors that govern the system resilience. To enable such sophisticated probabilistic analysis, a Bayesian network (BN) model is developed that involves various types of information from the hazard process to the performance of structures and systems. Then, the BN is quantified by identifying and compiling a comprehensive list of datasets. Thereby, this study analyses large-scale systems involving thousands of structures, while providing general probabilistic models and data schema that can be employed for other transportation networks.

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Uncoupled multivariate power models for estimating performance-based seismic damage states of column curvature ductility

Cited by 66 publications

References 30 publications

E-Cloud: Efficient seismic fragility assessment of structures based on enhanced cloud analysis

E-Cloud: Efficient seismic fragility assessment of structures based on enhanced cloud analysis

Investigation on Seismic Response of Long‐Span Special Steel Truss Cable‐Stayed Bridge

Urban seismic resilience mapping: a transportation network in Istanbul, Turkey

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