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    Probabilistic Connectivity Assessment of Road Networks Subjected to Ground Motion and Tsunamis Considering the Spatial Correlations among Hazard Intensities

    Source: Journal of Bridge Engineering:;2024:;Volume ( 029 ):;issue: 008::page 04024057-1
    Author:
    Koki Aoki
    ,
    Mitsuyoshi Akiyama
    ,
    Abdul Kadir Alhamid
    ,
    Dan M. Frangopol
    ,
    Shunichi Koshimura
    DOI: 10.1061/JBENF2.BEENG-6613
    Publisher: American Society of Civil Engineers
    Abstract: Before the anticipated Nankai Trough earthquake, the effects of multiple cascading hazards on bridge performance and the associated functionalities of road networks must be assessed to develop recovery strategies. This paper presents a framework for assessing the probabilistic connectivity of road networks exposed to both ground motion and tsunami, considering the spatial correlations among hazard intensities. To evaluate the joint probabilities of bridge states (i.e., passable and impassable states) and the probabilistic connectivity of road networks, the total probability theorem was used to integrate spatially correlated seismic and tsunami hazard assessments into the fragility estimates that consider the cascading effects of ground motion and tsunami-induced damages to bridges. For illustrative purposes, the probabilistic connectivity of hypothetical road networks in Japan that could be affected by both ground motion and tsunami during the anticipated Nankai Trough earthquake was assessed using the proposed method. The results showed that seismic retrofitting of bridges located along the route where the probability of impassable states due to tsunami is very low can enhance the probabilistic connectivity of entire road networks.
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      Probabilistic Connectivity Assessment of Road Networks Subjected to Ground Motion and Tsunamis Considering the Spatial Correlations among Hazard Intensities

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4298621
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    contributor authorKoki Aoki
    contributor authorMitsuyoshi Akiyama
    contributor authorAbdul Kadir Alhamid
    contributor authorDan M. Frangopol
    contributor authorShunichi Koshimura
    date accessioned2024-12-24T10:16:41Z
    date available2024-12-24T10:16:41Z
    date copyright8/1/2024 12:00:00 AM
    date issued2024
    identifier otherJBENF2.BEENG-6613.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4298621
    description abstractBefore the anticipated Nankai Trough earthquake, the effects of multiple cascading hazards on bridge performance and the associated functionalities of road networks must be assessed to develop recovery strategies. This paper presents a framework for assessing the probabilistic connectivity of road networks exposed to both ground motion and tsunami, considering the spatial correlations among hazard intensities. To evaluate the joint probabilities of bridge states (i.e., passable and impassable states) and the probabilistic connectivity of road networks, the total probability theorem was used to integrate spatially correlated seismic and tsunami hazard assessments into the fragility estimates that consider the cascading effects of ground motion and tsunami-induced damages to bridges. For illustrative purposes, the probabilistic connectivity of hypothetical road networks in Japan that could be affected by both ground motion and tsunami during the anticipated Nankai Trough earthquake was assessed using the proposed method. The results showed that seismic retrofitting of bridges located along the route where the probability of impassable states due to tsunami is very low can enhance the probabilistic connectivity of entire road networks.
    publisherAmerican Society of Civil Engineers
    titleProbabilistic Connectivity Assessment of Road Networks Subjected to Ground Motion and Tsunamis Considering the Spatial Correlations among Hazard Intensities
    typeJournal Article
    journal volume29
    journal issue8
    journal titleJournal of Bridge Engineering
    identifier doi10.1061/JBENF2.BEENG-6613
    journal fristpage04024057-1
    journal lastpage04024057-21
    page21
    treeJournal of Bridge Engineering:;2024:;Volume ( 029 ):;issue: 008
    contenttypeFulltext
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