An improved nonlinear analytical approach to generate fragility curves of reinforced concrete columns subjected to blast loads

Yu, Runqing; Chen, Li; Fang, Qin; Huan, Yi

doi:10.1177/1369433217718986

Cited by 17 publications

(8 citation statements)

References 36 publications

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“…The efficacy of the adapted modeling technique was further quantitatively analyzed by investigating the displacement time histories obtained from LS‐DYNA 10 with that of the experimental results at similar locations, as reported by Yu et al 32 These have been presented for comparison in Figure 8 and in Table 4.…”

Section: Numerical Modelingmentioning

confidence: 95%

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Response characterization of highway bridge piers subjected to blast loading

Patel

Goswami

Adhikary

2020

Structural Concrete

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Recent attacks on a number of bridges demonstrate clear evidence of the vulnerability characterizing transportation systems to terrorist attacks. This vulnerability being further enhanced by the fact that the security measures implemented for the highway bridges are often not at par with those in place for the milestone bridges. This has necessitated studies to effectively characterize the response of highway bridge piers subjected to blast loads. The study, presented here, concentrates on investigating the effects of various parameters such as scaled distance, blast type, axial load ratio, and reinforcement detailing in assessing the response of reinforced concrete bridge piers that form the part of a two span highway bridge. The analysis of the bridge was carried out in accordance with IRC 6:2017. It was observed that at lower scaled distances, the burst type and the axial load ratio significantly affect the response of the pier. For a constant ALR value of 0.15, a 91.55% reduction in the peak displacement value was observed on increasing the scaled distance from 0.5 to 1 m/kg1/3. Furthermore, for the conventionally detailed piers, an increase in the ALR value at a scaled distance of 0.5 m/kg1/3 was observed to be characterized by catastrophic failure due to the buckling of the longitudinal rebar on account of crushing of the compression concrete. Seismic detailing was also found to significantly improve the response of the columns, scilicet the use of seismic detailing, was noted to significantly reduce the peak displacement (~ 40%).

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Section: Numerical Modelingmentioning

confidence: 95%

“…The adequacy of the adapted modeling methodology was evaluated against the experimental data presented by Siba 16 and Yu et al 32 For the purpose of this validation, a total of three test cases were modeled‐ two (CONV‐20 and SEIS‐4) from Siba 16 and one from Yu et al 32 The results of this evaluation are as follows:…”

Section: Numerical Modelingmentioning

confidence: 99%

Response characterization of highway bridge piers subjected to blast loading

Patel

Goswami

Adhikary

2020

Structural Concrete

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“…The framework nonetheless highlighted the importance of integrating the probabilistic nature of the hazard intensity and system response within the resilience assessment process. The conditional approach, on the other hand, decouples the uncertainties resulting from different sources, thus requiring less sophisticated computational tools Hao 2001, 2002;Olmati et al 2014Olmati et al , 2016Stewart et al 2006;Yu et al 2018), and will subsequently be adopted herein to account for uncertainty, as will be explained next.…”

Section: Probabilistic Assessment Of the Resilience Management Goalsmentioning

confidence: 99%

Probabilistic Resilience-Guided Infrastructure Risk Management

et al. 2020

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The increased frequency and magnitude of natural and anthropogenic hazard events that affected infrastructure systems over the past two decades have highlighted the need for more effective risk management strategies. Such strategies are expected to not only manage the immediate disruption to system's functionality following hazard realization, but to also mitigate the latter's extended-term consequences (e.g., recovery cost and restoration time), which would otherwise be disastrous. To yield realistic managerial insights, such resilience-guided risk management necessitates accounting for the different sources of uncertainties associated with both the hazard quantification and the response of the infrastructure being considered. Through considering such uncertainties, the probabilistic resilience quantification framework developed in this study is expected to provide valuable managerial insights to guide resource allocations for both pre-and posthazard realization. The applicability of the framework is demonstrated on a simplified system subjected to different anthropogenic hazard scenarios. Beyond the presented case study, the developed framework lays the foundation for adopting probabilistic resilience quantification to guide the next-generation risk management processes of infrastructure systems under different forms of natural and anthropogenic hazards.

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“…The relation between bending moment and sectional curvature was calculated by the layered section method, which has been widely adopted by many researchers (Chen et al, 2011; Yu et al, 2017). The computation program is described as follows:…”

Section: Yielding Condition and Failure Condition Of Plastic Hingesmentioning

confidence: 99%

Non-dimensional pressure–impulse diagrams for blast-loaded reinforced concrete beam columns referred to different failure modes

Zhang

Chen

et al. 2018

Advances in Structural Engineering

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The pressure–impulse diagram is commonly used to assess the damage level of structural components under explosion. Non-dimensional pressure–impulse diagrams referred to different failure modes was obtained using a new methodology in this article. Nine non-dimensional key parameters were first proposed on basis of the Euler beam theory. Considering the shear failure, an elastic–plastic method to calculate the dynamic response of reinforced concrete beam columns was then proposed for different failure modes. Three failure categories, for example, bending failure, shear failure, and combined shear and bending failure, were considered. The threshold between the three failure modes was determined using non-dimensional pressure–impulse curves. A systematic parametric study was conducted to investigate the effects of different non-dimensional parameters on the dynamic response and the failure modes of reinforced concrete beam column. Parametric study shows that the nine non-dimensional key parameters are sufficient to calculate the dynamic response of reinforced concrete beam columns. Moreover, present study shows that the tangent modulus of direct shear stress–slip relation has a great influence on the failure modes. Beam columns with a smaller tangent modulus are more likely to generate combined shear and bending failure mode.

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An improved nonlinear analytical approach to generate fragility curves of reinforced concrete columns subjected to blast loads

Cited by 17 publications

References 36 publications

Response characterization of highway bridge piers subjected to blast loading

Response characterization of highway bridge piers subjected to blast loading

Probabilistic Resilience-Guided Infrastructure Risk Management

Non-dimensional pressure–impulse diagrams for blast-loaded reinforced concrete beam columns referred to different failure modes

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