Multihazard Damage and Loss Assessment of Bridges in a Highway Network Subjected to Earthquake and Tsunami Hazards

Burns, Patrick; Barbosa, André R.; Olsen, Michael J.; Wang, Haizhong

doi:10.1061/(asce)nh.1527-6996.0000429

Cited by 14 publications

(3 citation statements)

References 44 publications

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“…However, the HAZUS-MH ground deformation models estimate PGD values accounting for liquefaction-induced lateral spreading and landslide-induced ground failure, along with a probability of their occurrence. The CSZ scenario maps, which were intended for state-wide seismic risk applications, such as the ones developed in Burns et al (2021), were developed at 30 m resolutions, whereas much finer resolutions were used for Portland Hills fault scenario for its potential application in the three counties surrounding Portland, OR (9 m for PGV and 3 m for PGD).…”

Section: Case Studymentioning

confidence: 99%

Probabilistic seismic damage and loss assessment methodology for wastewater network incorporating modeling uncertainty and damage correlations

et al. 2023

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Maintaining the functionality of wastewater networks is critical to individual well-being, business continuity, public health, and safety. However, seismic damage and loss assessments of wastewater networks traditionally use fragility functions based on median repair rates without considering relevant sources of uncertainty and correlations of damage when estimating potential damage states and pipe repairs. This study presents a probabilistic methodology to incorporate modeling uncertainty (e.g. model parameter and model class uncertainty) and spatial correlations (e.g. spatial auto- and cross-correlation) of pipe repairs. The methodology was applied to a case study backbone system of a wastewater network in Portland, OR, using the expected hazard intensity maps for multiple deterministic earthquake scenarios, including a moment magnitude M6.8 Portland Hills Fault and M8.1, M8.4, M8.7, and M9.0 Cascadia Subduction Zone (CSZ) events. As spatial-correlation models of pipeline damage were non-existent in the literature and local information on costs to repair the pipes was limited at the time of this study, correlation methods and repair costs were proposed to estimate lower and upper bounds of pipe damage and loss. The results show how the consideration of different levels of uncertainty and spatial correlation for pipe repair rate could lead to different probabilistic estimates of damage and loss at the system level of the wastewater network, even though the point estimates, such as the mean and median, remain essentially unaltered.

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Section: Case Studymentioning

confidence: 99%

Probabilistic seismic damage and loss assessment methodology for wastewater network incorporating modeling uncertainty and damage correlations

et al. 2023

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“…These indirect losses (Dong and Frangopol, 2015) are owed to the loss of functionality, i.e. reduction in traffic capacity (Burns et al, 2021), but also due to the disturbance to social and professional life, business interruption (Hofer et al, 2018), additional transportation cost and environmental implications (Kiremidjian et al, 2007;Dorra et al, 2013). Interdependencies affect not only assets within the same network (e.g.…”

Section: Restoration and Reinstatement Of Bridges And Networkmentioning

confidence: 99%

Bridge and transport network resilience – a perspective

Mitoulis

Domaneschi

Cimellaro

et al. 2022

Proceedings of the Institution of Civil Engineers - Bridge Engi

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Bridges and critical transport infrastructure are primary assets and systems that underpin human mobility and activities. Loss of bridge functionality has consequences on entire transport networks, which are also interconnected with other networks. Cascading events then unfold in the entire system of systems, leading to significant economic losses and societal disruption to business and society. Recent natural disasters have revealed the vulnerabilities of bridges and critical assets to diverse hazards (e.g. floods, blasts, earthquakes), some of which are exacerbated due to climate change. The assessment of bridge and network vulnerabilities by quantifying their capacity and functionality loss and adaptation to new requirements and stressors is thus of paramount importance. The aim of this work was try to understand the main compound hazards, stressors and threats that have short- and long-term impacts on the structural capacity and functionality of bridges and the impact of bridge closures on network operability. The main drivers of bridge restoration and reinstatement were also considered. Loss of performance, driven by redundancy and robustness of a bridge, is the first step to be considered in the overall process of resilience quantification. Resourcefulness is the other main component of resilience analysed in this work.

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“…Ouyang and Duenas‐Osorio (2014) modeled the transmission network of Harris County, TX, and simulated transmission tower damage using wind field data simulated by Hazus. Hazus is a software program developed for the Federal Emergency Management Agency (FEMA) to model earthquake (Kircher et al., 2006; Neighbors et al., 2013), flooding (Banks et al., 2015; Schauer et al., 2002), tsunami (Burns et al., 2021), and hurricane damage (Pei et al., 2014; Vickery, Lin, et al., 2006). However, the location of transmission towers in the Harris County study, a critical failure component of transmission lines, was approximated based on the utility's report of average structures per line mile on each transmission line.…”

Section: Introductionmentioning

confidence: 99%

Component Assessment of the Electric Transmission Grid to Hurricanes

Schumann,

Chini

2023

Earth's Future

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The increased frequency and intensity of extreme weather events from climate change necessitates understanding impacts on critical infrastructure, particularly electrical transmission grids. One of the foundational concepts of a grid's resilience is its robustness to extreme weather events, such as hurricanes. Resilience of the electric grid to high wind speeds is predicated upon the location and physical characteristics of the system components. Previous modeling assessments of electric grid failure were done at the systems level with assumptions on location and type of specific components. To facilitate more explicit adaptation metrics, accurate component‐level information is needed. In this study, we build and utilize a data set of location, physical characteristics, and age of transmission structures for nine counties in the Florida Panhandle. These component characteristics were then simulated for failure under a variety of scenarios using fragility curves. Eight hurricanes were modeled using Hazus from the Federal Emergency Management Administration and the resulting impact to the network was assessed. The network was generated using the transmission lines and towers, showing increasing impacts to network efficiency with larger storms. Although modern transmission structures are built under the more stringent extreme wind loading construction standards, the prevalence of older, wooden transmission structures throughout the region poses a substantial risk to reliable electricity transmission during tropical cyclone events from the Gulf of Mexico.

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Multihazard Damage and Loss Assessment of Bridges in a Highway Network Subjected to Earthquake and Tsunami Hazards

Cited by 14 publications

References 44 publications

Probabilistic seismic damage and loss assessment methodology for wastewater network incorporating modeling uncertainty and damage correlations

Probabilistic seismic damage and loss assessment methodology for wastewater network incorporating modeling uncertainty and damage correlations

Bridge and transport network resilience – a perspective

Component Assessment of the Electric Transmission Grid to Hurricanes

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