• Login
    View Item 
    •   DSpace Home
    • ASCE
    • Journal of Computing in Civil Engineering
    • View Item
    •   DSpace Home
    • ASCE
    • Journal of Computing in Civil Engineering
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

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

    Thumbnail
    View/Open
    43036336.pdf (14.90Mb)
    Date
    2015
    Author
    Alireza G. Kashani
    Patrick S. Crawford
    Sufal K. Biswas
    Andrew J. Graettinger
    David Grau
    Metadata
    Show full item record
    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 (
    URI
    http://yetl.yabesh.ir/yetl/handle/yetl/78559
    Collections
    • Journal of Computing in Civil Engineering

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV