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    Structural health monitoring and bridge condition assessment

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    Xiao_uaf_0006E_10526.pdf
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    Author
    Xiao, Feng
    肖枫
    Chair
    Hulsey, J. Leroy
    Committee
    Xiang, Yujiang
    Dong, Yongtao
    Chen, Gang S.
    Metadata
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    URI
    http://hdl.handle.net/11122/6816
    Abstract
    This research is mainly in the field of structural identification and model calibration, optimal sensor placement, and structural health monitoring application for large-scale structures. The ultimate goal of this study is to identify the structure behavior and evaluate the health condition by using structural health monitoring system. To achieve this goal, this research firstly established two fiber optic structural health monitoring systems for a two-span truss bridge and a five-span steel girder bridge. Secondly, this research examined the empirical mode decomposition (EMD) method’s application by using the portable accelerometer system for a long steel girder bridge, and identified the accelerometer number requirements for comprehensively record bridge modal frequencies and damping. Thirdly, it developed a multi-direction model updating method which can update the bridge model by using static and dynamic measurement. Finally, this research studied the optimal static strain sensor placement and established a new method for model parameter identification and damage detection.
    Description
    Thesis (Ph.D.) University of Alaska Fairbanks, 2016
    Table of Contents
    Chapter 1: Introduction -- Chapter 2: Structural Health Monitoring of the Klehini River Bridge -- Chapter 3: Ambient Loading and Modal Parameters for the Chulitna River Bridge -- Chapter 4: Multi-direction Bridge Model Updating using Static and Dynamic Measurement -- Chapter 5: Optimal Static Strain Sensor Placement for Bridge Model Parameter Identification by using Numerical Optimization Method -- Chapter 6: Conclusions and Future Work.
    Date
    2016-08
    Type
    Thesis
    Collections
    College of Engineering and Mines
    Theses (Civil and Environmental Engineering)

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