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    An Approach to Bridge Inspection Using 3D Laser Scanners and Digital Photographs

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    Available after: 2019-08-31 (4.641Mb)
    Issue Date
    2017-08-31
    Author
    Farooq, Muhammad Shumail
    Publisher
    University of Kansas
    Format
    98 pages
    Type
    Thesis
    Degree Level
    M.S.
    Discipline
    Civil, Environmental & Architectural Engineering
    Rights
    Copyright held by the author.
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    Abstract
    Bridges are an integral component of infrastructure systems, which play a critical role in the development of the economy, society, and national security. However, bridges have not received adequate care and are deteriorating rapidly. More than 9% of bridges in the United States are structurally deficient and need immediate repairs. A major contributing factor to this deficiency is a lack of adequate and accurate inspection processes. Current methods of bridge inspection and assessment involve a reiterative paper-based process that requires manual data entry and extraction. The inspection team analyzes the critical portions of a bridge, identifies problem severity, documents the damages and concentrates on the cause of the problem. This paper-based process is complex, time-consuming and error-prone. To eliminate human errors attached with surveying and the data collection process, practitioners recently have used automated techniques and advanced equipment to inspect bridge conditions. This research introduces a combination of 3D laser scanning and photographic techniques to determine important attributes of bridge inspection. A terrestrial laser scanner is used to collect point cloud data to create a 3D model of the bridge structure. Three-dimensional geometrical information of bridge structure is extracted from the point cloud 3D model with accuracy level in accordance with national bridge inventory (NBI) specifications. The occurrence of cracks in bridge components is a clear sign of potential damage and must be assessed critically. In order to determine the severity of damage, it is important to compute the width of cracks and compare the data with an allowable limit as specified by NBI or state department of transportation (DOT). In addition, to examine geometrical surveying data, this research proposes a framework to detect cracks in the bridge structure. The framework is verified and validated using a case project. The results of this study contribute to the construction engineering and management body of knowledge by demonstrating the extraction of geometric data for bridge inspection in accordance with NBI accuracy specifications using a laser scanner. This study also demonstrates an automated technique to assess structural health by detecting cracks in a concrete bridge using digital photographs and computing the width of those cracks.
    URI
    http://hdl.handle.net/1808/27798
    Collections
    • Engineering Dissertations and Theses [1055]
    • Theses [3825]

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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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