Research on construction alignment monitoring of cantilever cast continuous girder bridge based on Kalman filtering and forward installation analysis

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Abstract Taking the (72 + 128 + 72) m prestressed concrete continuous beam bridge of the Pingluo-Zhoukou High-Speed Railway as the engineering background, this study proposes a construction alignment monitoring method integrating Kalman filtering and forward analysis. The Kalman filter is used to eliminate random construction errors and obtain optimal state estimation, which serves as the initial condition for forward analysis. Considering shrinkage, creep, and parameter updating, the method accurately predicts camber during construction. Results show that elevation deviations range from 2 to 13 mm, and the maximum deviation after completion is 1.3 cm, meeting design requirements. The method is effective for alignment control in cantilever construction.

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