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Structural Engineering and Mechanics Volume 46, Number 3, May10 2013 , pages 433-445 DOI: https://doi.org/10.12989/sem.2013.46.3.433 |
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Automated data interpretation for practical bridge identification |
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J. Zhang, F.L. Moon and T. Sato
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| Abstract | ||
| Vibration-based structural identification has become an important tool for structural health monitoring and safety evaluation. However, various kinds of uncertainties (e.g., observation noise) involved in the field test data obstruct automation system identification for accurate and fast structural safety evaluation. A practical way including a data preprocessing procedure and a vector backward auto-regressive (VBAR) method has been investigated for practical bridge identification. The data preprocessing procedure serves to improve the data quality, which consists of multi-level uncertainty mitigation techniques. The VBAR method provides a determinative way to automatically distinguish structural modes from extraneous modes arising from uncertainty. Ambient test data of a cantilever beam is investigated to demonstrate how the proposed method automatically interprets vibration data for structural modal estimation. Especially, structural identification of a truss bridge using field test data is also performed to study the effectiveness of the proposed method for real bridge identification. | ||
| Key Words | ||
| structural identification; ambient vibration; automate; uncertainty; signal processing | ||
| Address | ||
| J. Zhang : Key Laboratory of C&RC Structures of the Ministry of Education, Southeast University, Nanjing 210096, China F.L. Moon : Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104, USA T. Sato : International Institute for Urban Systems Engineering, Southeast University, Nanjing 210096, China | ||