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    Structural Identification Using Computer Vision–Based Bridge Health Monitoring 

    Source: Journal of Structural Engineering:;2018:;Volume ( 144 ):;issue: 002
    Author(s): Tung Khuc; F. Necati Catbas
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents a new structural identification (St-Id) framework along with a damage indicator, displacement unit influence surface using computer vision–based measurements for bridge health monitoring. Unit influence ...
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    Hybrid Sensor-Camera Monitoring for Damage Detection: Case Study of a Real Bridge 

    Source: Journal of Bridge Engineering:;2016:;Volume ( 021 ):;issue: 006
    Author(s): Ricardo Zaurin; Tung Khuc; F. Necati Catbas
    Publisher: American Society of Civil Engineers
    Abstract: This article presents the real-world implementation of a novel monitoring system in which video images and conventional sensor network data are simultaneously analyzed to detect possible damage on a movable bridge. The ...
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    DSpace software copyright © 2002-2015  DuraSpace
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