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    Real-Time Bridge Deflection Prediction Based on a Novel Bayesian Dynamic Difference Model and Nonstationary Data 

    Source: Journal of Bridge Engineering:;2024:;Volume ( 029 ):;issue: 009:;page 04024064-1
    Author(s): Guang Qu; Mingming Song; Limin Sun
    Publisher: American Society of Civil Engineers
    Abstract: Accurate deflection prediction of in-service bridges can be used to assess the overall structural stiffness and detect abnormal states in advance. The bridge structures, especially long-span bridges, experience varying ...
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    Performance Prediction for Steel Bridges Using SHM Data and Bayesian Dynamic Regression Linear Model: A Novel Approach 

    Source: Journal of Bridge Engineering:;2024:;Volume ( 029 ):;issue: 007:;page 04024044-1
    Author(s): Guang Qu; Limin Sun
    Publisher: American Society of Civil Engineers
    Abstract: Understanding expected structural behavior enables the early identification of potential structural issues or failure modes, allowing for timely intervention and maintenance. Guided by this premise, this paper proposes the ...
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