Real-Time Bridge Deflection Prediction Based on a Novel Bayesian Dynamic Difference Model and Nonstationary Data-Reference-Cited by-同舟云学术

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

Published:2024-09 Issue:9 Volume:29 Page:
ISSN:1084-0702
Container-title:Journal of Bridge Engineering
language:en
Short-container-title:J. Bridge Eng.

Author:

Qu Guang¹^ORCID,Song Mingming²^ORCID,Sun Limin³

Affiliation:

1. Ph.D. Candidate, Dept. of Bridge Engineering, School of Civil Engineering, Tongji Univ., 1239 Siping Rd., Shanghai 200092, China. ORCID: .

2. Assistant Professor, Dept. of Bridge Engineering, School of Civil Engineering, Tongji Univ., 1239 Siping Rd., Shanghai 200092, China (corresponding author). ORCID: .

3. Professor, State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji Univ., 1239 Siping Rd., Shanghai 200092, China; PI, Shanghai Qi Zhi Institute, 701 Yunjing Rd., Xuhui, Shanghai 200232, China.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JBENF2.BEENG-6710

Reference49 articles.

1. Comparison of Visual Inspection and Structural-Health Monitoring As Bridge Condition Assessment Methods

2. Strain Prediction of Bridge SHM Based on CEEMDAN-ARIMA Model

3. Probing of neural networks as a bridge from ab initio relevant characteristics to differential scanning calorimetry measurements of high-energy compounds;Bondarev N. V.;Rapid Res. Lett.,2022

4. Real-Time Dynamic Warning on Deflection Abnormity of Cable-Stayed Bridges Considering Operational Environment Variations

5. Non-Destructive Evaluation of Closure Joints in Accelerated Bridge Construction using a Damage Etiology Approach

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