Fragility Functions for Bridges in Liquefaction-Induced Lateral Spreads

Brandenberg, Scott J.; Kashighandi, Pirooz; Zhang, Jian; Huo, Yili; Zhao, Meiqi

doi:10.1193/1.3610248

Cited by 34 publications

(5 citation statements)

References 23 publications

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“…Such types of cascading hazards have been extensively observed in past events, including the widespread damage to transport infrastructure due to liquefaction and landslides after the 2007 Niigata -ken Chuetsu Oki earthquake in Japan (Kayen et al, 2009) or the 2008 Wenchuan earthquake in China (Tang et al, 2011). The effects of cascading hazards to infrastructure performance have been studied by Brandenberg et al (2011) and Aygün et al (2011) for bridges exposed to liquefaction caused by earthquake shaking, and by Omidvar and Kivi (2016) for gas pipelines under earthquake, liquefaction and fire following the earthquake. Hackl et al (2018) and Lam et al, (2018) estimated the impact of rainfall-induced floods and mudflows on a road network considering the associated risks to bridges and pavements, including physical damage and functional loss.…”

Section: Classification Of Multiple Hazards For Critical Infrastructurementioning

confidence: 99%

Resilience assessment framework for critical infrastructure in a multi-hazard environment: Case study on transport assets

Argyroudis

Mitoulis

Hofer

et al. 2020

Science of The Total Environment

172

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The exposure of critical infrastructure to natural and human-induced hazards has severe consequences on world economies and societies. Therefore, resilience assessment of infrastructure assets to extreme events and sequences of diverse hazards is of paramount importance for maintaining their functionality. Yet, the resilience assessment commonly assumes single hazards and ignores alternative approaches and decisions in the restoration strategy. It has now been established that infrastructure owners and operators consider different factors in their restoration strategies depending on the available resources and their priorities, the importance of the asset and the level of damage. Currently, no integrated framework that accounts for the nature and sequence

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Section: Classification Of Multiple Hazards For Critical Infrastructurementioning

confidence: 99%

Resilience assessment framework for critical infrastructure in a multi-hazard environment: Case study on transport assets

Argyroudis

Mitoulis

Hofer

et al. 2020

Science of The Total Environment

172

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“…Soil-structure interaction (SSI) effects on fragility analysis of bridges have been addressed in several studies (e.g. , while liquefaction-sensitive fragility functions were developed based on numerical modelling accounting for SSI effects (Brandenberg et al 2011;Aygün et al 2011). The combined effect of flood-induced scouring and earthquake to the fragility of bridges has been studied by Dong et al (2013), Banerjee and Prasad (2013), Prasad and Banerjee (2013), Kameshwar and Padgett (2014), Guo et al (2016), Yilmaz et al (2016Yilmaz et al ( , 2017.…”

Section: Bridgesmentioning

confidence: 99%

Fragility of transport assets exposed to multiple hazards: State-of-the-art review toward infrastructural resilience

Argyroudis

Mitoulis

Winter

et al. 2019

Reliability Engineering & System Safety

157

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Vulnerability is a fundamental component of risk and its understanding is important for characterising the reliability of infrastructure assets and systems and for mitigating risks. The vulnerability analysis of infrastructure exposed to natural hazards has become a key area of research due to the critical role that infrastructure plays for society and this topic has been the subject of significant advances from new data and insights following recent disasters. Transport systems, in particular, are highly vulnerable to natural hazards, and the physical damage of transport assets may cause significant disruption and socioeconomic impact. More importantly, infrastructure assets comprise Systems of Assets (SoA), i.e. a combination of interdependent assets exposed not to one, but to multiple hazards, depending on the environment within which these reside. Thus, it is of paramount importance for their reliability and safety to enable fragility analysis of SoA subjected to a sequence of hazards. In this context, and after understanding the absence of a relevant study, the aim of this paper is to review the recent advances on fragility assessment of critical transport infrastructure subject to diverse geotechnical and climatic hazards. The effects of these hazards on the main transport assets are summarised and common damage modes are described. Frequently in practice, individual fragility functions for each transport asset are employed as part of a quantitative risk analysis (QRA) of the infrastructure. A comprehensive review of the available fragility functions is provided for different hazards. Engineering advances in the development of numerical fragility functions for individual assets are discussed including soilstructure interaction, deterioration, and multiple hazard effects. The concept of SoA in diverse ecosystems is introduced, where infrastructure is classified based on (i) the road capacity and speed limits and (ii) the geomorphological and topographical conditions. A methodological framework for the development of numerical fragility functions of SoA under multiple hazards is proposed and demonstrated. The paper concludes by detailing the opportunities for future developments in the fragility analysis of transport SoA under multiple hazards, which is of paramount importance in decision-making processes around adaptation, mitigation, and recovery planning in respect of geotechnical and climatic hazards.

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“…Although the superstructure elements such as the bridge deck and the abutments are not explicitly modeled in this study, the superstructure mass is assumed to be represented as a lumped mass on top of the bridge column and the superstructure weight is propagated as axial load in addition to the self-weight of the column. The axial load ratio of the column is assumed to be 0.06, which is typical of single-column bridges in California (Brandenberg et al 2011). The diameter of the column is assumed to be 1.28 m, and the longitudinal steel ratio in it is 2.5% of the gross cross-sectional area distributed as 22 #14 rebars, each with a nominal diameter of 43 mm.…”

Section: Case Studymentioning

confidence: 99%

Seismic Damage Accumulation in Highway Bridges in Earthquake-Prone Regions

2015

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Civil infrastructures, such as highway bridges, located in seismically active regions are often subjected to multiple earthquakes, such as multiple main shocks along their service life or main shock-aftershock sequences. Repeated seismic events result in reduced structural capacity and may lead to bridge collapse causing disruption in normal functioning of transportation networks. This study proposes a framework to predict damage accumulation in structures under multiple shock scenarios after developing damage index prediction models and accounting for the probabilistic nature of the hazard. The versatility of the proposed framework is demonstrated on a case study highway bridge located in California for two distinct hazard scenarios: a) multiple main shocks along the service life, and b) multiple aftershock earthquake occurrences following a single main shock. Results reveal that in both cases there is a significant increase in damage index exceedance probabilities due to repeated shocks within the time window of interest.

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Fragility Functions for Bridges in Liquefaction-Induced Lateral Spreads

Cited by 34 publications

References 23 publications

Resilience assessment framework for critical infrastructure in a multi-hazard environment: Case study on transport assets

Resilience assessment framework for critical infrastructure in a multi-hazard environment: Case study on transport assets

Fragility of transport assets exposed to multiple hazards: State-of-the-art review toward infrastructural resilience

Seismic Damage Accumulation in Highway Bridges in Earthquake-Prone Regions

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