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    Automatic Density-Based Clustering for Operational Modal Analysis 

    Source: Natural Hazards Review:;2025:;Volume ( 026 ):;issue: 002:;page 04025004-1
    Author(s): Upama Bhusal; Jale Tezcan
    Publisher: American Society of Civil Engineers
    Abstract: Estimation of modal parameters from ambient response measurements is a central task in structural health monitoring and rapid condition assessment of structures after natural disasters or other damaging events. This task ...
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    Seismic Retrofitting for Chord Reinforcement for Unreinforced Masonry Historic Buildings with Flexible Diaphragms 

    Source: Practice Periodical on Structural Design and Construction:;2012:;Volume ( 017 ):;issue: 003
    Author(s): J. Kent Hsiao; Jale Tezcan
    Publisher: American Society of Civil Engineers
    Abstract: The existing wood-diaphragm-to-masonry-wall connections in unreinforced masonry (URM) buildings provided very little or insufficient resistance in past earthquakes. Recent strengthening techniques for the connections between ...
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    Convolutional Neural Network Approach for Vibration-Based Damage State Prediction in a Reinforced Concrete Building 

    Source: Journal of Computing in Civil Engineering:;2024:;Volume ( 038 ):;issue: 002:;page 04024003-1
    Author(s): Michael L. Whiteman; Claudia C. Marin-Artieda; Jale Tezcan
    Publisher: ASCE
    Abstract: Structural health monitoring (SHM) is critical in identifying the degradation of infrastructure systems to ensure structural integrity and safety. Vibration-based SHM approaches, including numerical-physics-based modeling ...
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    DSpace software copyright © 2002-2015  DuraSpace
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