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    Automated Tornado Damage Assessment and Wind Speed Estimation Based on Terrestrial Laser Scanning

    Source: Journal of Computing in Civil Engineering:;2015:;Volume ( 029 ):;issue: 003
    Author:
    Alireza G. Kashani
    ,
    Patrick S. Crawford
    ,
    Sufal K. Biswas
    ,
    Andrew J. Graettinger
    ,
    David Grau
    DOI: 10.1061/(ASCE)CP.1943-5487.0000389
    Publisher: American Society of Civil Engineers
    Abstract: There are more than 1,000 tornadoes in the United States each year, yet engineers do not typically design for tornadoes because of insufficient information about wind loads. Collecting building-level damage data in the aftermath of tornadoes can improve the understanding of tornado winds, but these data are difficult to collect because of safety, time, and access constraints. This study presents and tests an automated geographic information system (GIS) method using postevent point cloud data collected by terrestrial scanners and preevent aerial images to calculate the percentage of roof and wall damage and estimate wind speeds at an individual building scale. Simulations determined that for typical point cloud density (
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      Automated Tornado Damage Assessment and Wind Speed Estimation Based on Terrestrial Laser Scanning

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    http://yetl.yabesh.ir/yetl1/handle/yetl/78559
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    contributor authorAlireza G. Kashani
    contributor authorPatrick S. Crawford
    contributor authorSufal K. Biswas
    contributor authorAndrew J. Graettinger
    contributor authorDavid Grau
    date accessioned2017-05-08T22:21:23Z
    date available2017-05-08T22:21:23Z
    date copyrightMay 2015
    date issued2015
    identifier other43036336.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/78559
    description abstractThere are more than 1,000 tornadoes in the United States each year, yet engineers do not typically design for tornadoes because of insufficient information about wind loads. Collecting building-level damage data in the aftermath of tornadoes can improve the understanding of tornado winds, but these data are difficult to collect because of safety, time, and access constraints. This study presents and tests an automated geographic information system (GIS) method using postevent point cloud data collected by terrestrial scanners and preevent aerial images to calculate the percentage of roof and wall damage and estimate wind speeds at an individual building scale. Simulations determined that for typical point cloud density (
    publisherAmerican Society of Civil Engineers
    titleAutomated Tornado Damage Assessment and Wind Speed Estimation Based on Terrestrial Laser Scanning
    typeJournal Paper
    journal volume29
    journal issue3
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)CP.1943-5487.0000389
    treeJournal of Computing in Civil Engineering:;2015:;Volume ( 029 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian