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Three-Dimensional Digital Documentation of Tornado-Damaged Heritage Buildings.

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Název: Three-Dimensional Digital Documentation of Tornado-Damaged Heritage Buildings.
Autoři: Kaushal, Saanchi S., Gutierrez Soto, Mariantonieta, Napolitano, Rebecca
Zdroj: Journal of Structural Engineering; Oct2024, Vol. 150 Issue 10, p1-6, 6p
Témata: HISTORIC buildings, TORNADO damage, POINT cloud, EMERGENCY management, HISTORIC structures
Abstrakt: In December 2021, an EF-4 tornado swept through several Midwest states in the United States, with Kentucky being the worst hit. Among the impacted towns was Mayfield, KY, where the historic buildings in downtown suffered significant damage. In response to this disaster, the authors conducted a reconnaissance mission to digitally document the affected historic structures. This involved capturing a series of three-dimensional (3D) point clouds, providing detailed spatial data about the impacted buildings. The resulting data set includes both the original raw data and processed information, now accessible via the DesignSafe open-access repository. This paper outlines the data collection process for the impacted buildings, and the steps undertaken to process it. The final product of this endeavor are the point clouds generated for the historic building typology, which included 10 historic buildings and 2 comparable religious buildings. These point clouds serve as invaluable resources for further analysis, aiding in understanding a disaster's impact, and guiding restoration endeavors. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Structural Engineering is the property of American Society of Civil Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Databáze: Complementary Index
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Header DbId: edb
DbLabel: Complementary Index
An: 179707381
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PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 1007.05755615234
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Three-Dimensional Digital Documentation of Tornado-Damaged Heritage Buildings.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Kaushal%2C+Saanchi+S%2E%22">Kaushal, Saanchi S.</searchLink><br /><searchLink fieldCode="AR" term="%22Gutierrez+Soto%2C+Mariantonieta%22">Gutierrez Soto, Mariantonieta</searchLink><br /><searchLink fieldCode="AR" term="%22Napolitano%2C+Rebecca%22">Napolitano, Rebecca</searchLink>
– Name: TitleSource
  Label: Source
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  Data: Journal of Structural Engineering; Oct2024, Vol. 150 Issue 10, p1-6, 6p
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22HISTORIC+buildings%22">HISTORIC buildings</searchLink><br /><searchLink fieldCode="DE" term="%22TORNADO+damage%22">TORNADO damage</searchLink><br /><searchLink fieldCode="DE" term="%22POINT+cloud%22">POINT cloud</searchLink><br /><searchLink fieldCode="DE" term="%22EMERGENCY+management%22">EMERGENCY management</searchLink><br /><searchLink fieldCode="DE" term="%22HISTORIC+structures%22">HISTORIC structures</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In December 2021, an EF-4 tornado swept through several Midwest states in the United States, with Kentucky being the worst hit. Among the impacted towns was Mayfield, KY, where the historic buildings in downtown suffered significant damage. In response to this disaster, the authors conducted a reconnaissance mission to digitally document the affected historic structures. This involved capturing a series of three-dimensional (3D) point clouds, providing detailed spatial data about the impacted buildings. The resulting data set includes both the original raw data and processed information, now accessible via the DesignSafe open-access repository. This paper outlines the data collection process for the impacted buildings, and the steps undertaken to process it. The final product of this endeavor are the point clouds generated for the historic building typology, which included 10 historic buildings and 2 comparable religious buildings. These point clouds serve as invaluable resources for further analysis, aiding in understanding a disaster's impact, and guiding restoration endeavors. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Structural Engineering is the property of American Society of Civil Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1061/JSENDH.STENG-13594
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 6
        StartPage: 1
    Subjects:
      – SubjectFull: HISTORIC buildings
        Type: general
      – SubjectFull: TORNADO damage
        Type: general
      – SubjectFull: POINT cloud
        Type: general
      – SubjectFull: EMERGENCY management
        Type: general
      – SubjectFull: HISTORIC structures
        Type: general
    Titles:
      – TitleFull: Three-Dimensional Digital Documentation of Tornado-Damaged Heritage Buildings.
        Type: main
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            NameFull: Kaushal, Saanchi S.
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            NameFull: Gutierrez Soto, Mariantonieta
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            NameFull: Napolitano, Rebecca
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          Dates:
            – D: 01
              M: 10
              Text: Oct2024
              Type: published
              Y: 2024
          Identifiers:
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              Value: 07339445
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              Value: 150
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: Journal of Structural Engineering
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