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    Hurricane Damage Classification Methodology and Fragility Functions Derived from Hurricane Sandy’s Effects in Coastal New Jersey

    Source: Journal of Waterway, Port, Coastal, and Ocean Engineering:;2017:;Volume ( 143 ):;issue: 005
    Author:
    Tori Tomiczek
    ,
    Andrew Kennedy
    ,
    Yao Zhang
    ,
    Margaret Owensby
    ,
    Mark E. Hope
    ,
    Ning Lin
    ,
    Abigail Flory
    DOI: 10.1061/(ASCE)WW.1943-5460.0000409
    Publisher: American Society of Civil Engineers
    Abstract: Regional-scale and local damage surveys of the U.S. Mid-Atlantic coast were performed after Hurricane Sandy in 2012. A satellite-based analysis of over 15,000 houses within one block of the New Jersey, Long Island, and Staten Island coastlines showed a strong correlation between destruction and poststorm dune heights. A detailed survey in Ocean County, New Jersey, classified 380 homes into seven damage states to different subassemblies. A phase-resolving Boussinesq-Green-Naghdi wave model simulating the strongest hour of the storm was used to evaluate hydrodynamics at each residence. Maximum computed water surface elevations were found to differ strongly from standard depth-limited assumptions. A vulnerability model to diagnose the damage state of a coastal residence subject to storm conditions identified maximum water velocity and relative shielding as critical predictors of damage. Improved hydrodynamic models that can efficiently compute the complex flow interactions with structures may provide more reliable damage prediction in coastal communities.
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      Hurricane Damage Classification Methodology and Fragility Functions Derived from Hurricane Sandy’s Effects in Coastal New Jersey

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4240052
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    • Journal of Waterway, Port, Coastal, and Ocean Engineering

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    contributor authorTori Tomiczek
    contributor authorAndrew Kennedy
    contributor authorYao Zhang
    contributor authorMargaret Owensby
    contributor authorMark E. Hope
    contributor authorNing Lin
    contributor authorAbigail Flory
    date accessioned2017-12-16T09:13:01Z
    date available2017-12-16T09:13:01Z
    date issued2017
    identifier other%28ASCE%29WW.1943-5460.0000409.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4240052
    description abstractRegional-scale and local damage surveys of the U.S. Mid-Atlantic coast were performed after Hurricane Sandy in 2012. A satellite-based analysis of over 15,000 houses within one block of the New Jersey, Long Island, and Staten Island coastlines showed a strong correlation between destruction and poststorm dune heights. A detailed survey in Ocean County, New Jersey, classified 380 homes into seven damage states to different subassemblies. A phase-resolving Boussinesq-Green-Naghdi wave model simulating the strongest hour of the storm was used to evaluate hydrodynamics at each residence. Maximum computed water surface elevations were found to differ strongly from standard depth-limited assumptions. A vulnerability model to diagnose the damage state of a coastal residence subject to storm conditions identified maximum water velocity and relative shielding as critical predictors of damage. Improved hydrodynamic models that can efficiently compute the complex flow interactions with structures may provide more reliable damage prediction in coastal communities.
    publisherAmerican Society of Civil Engineers
    titleHurricane Damage Classification Methodology and Fragility Functions Derived from Hurricane Sandy’s Effects in Coastal New Jersey
    typeJournal Paper
    journal volume143
    journal issue5
    journal titleJournal of Waterway, Port, Coastal, and Ocean Engineering
    identifier doi10.1061/(ASCE)WW.1943-5460.0000409
    treeJournal of Waterway, Port, Coastal, and Ocean Engineering:;2017:;Volume ( 143 ):;issue: 005
    contenttypeFulltext
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