Conference proceeding
Challenges and uncertainty mitigation in structural identification of long span bridges
BRIDGE MAINTENANCE, SAFETY, MANAGEMENT AND LIFE-CYCLE OPTIMIZATION, pp.825-834
01 Jan 2010
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Using full scale vibration testing as a means for structural identification (St-Id) of long span bridges represents an efficient technique for quantitatively characterizing the in-service mechanical attributes and behaviors of these complex systems. However, there are various uncertainties, known and unknown, involved in the experimental and identification processes that impact the reliability of St-Id and serve as a barrier to its more widespread acceptance and application in engineering practice. A full-scale vibration test on a long-span suspension bridge is taken as an example to illustrate a number of possible approaches for coping with the challenges in practical identification of the dynamic characteristics of large-scale constructed systems. This paper examines uncertainty mechanisms in the following areas: (1) experiment design and implementation, (2) data pre-processing, (3) data post processing and modal parameter estimation. The identification results obtained for the bridge spans and towers demonstrate that the developed field testing and data processing methods may provide a reliable solution for bridge characterization.
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Details
- Title
- Challenges and uncertainty mitigation in structural identification of long span bridges
- Creators
- J. B. Prader - Drexel University, Civil, Architectural, and Environmental EngineeringJ. Zhang - Southeast UniversityF. L. Moon - Drexel University, Civil, Architectural, and Environmental EngineeringA. E. Aktan - Drexel University, Civil, Architectural, and Environmental Engineering
- Contributors
- D M Frangopol (Editor)R Sause (Editor)C S Kusko (Editor)
- Publication Details
- BRIDGE MAINTENANCE, SAFETY, MANAGEMENT AND LIFE-CYCLE OPTIMIZATION, pp.825-834
- Publisher
- Taylor & Francis
- Number of pages
- 10
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000320615001019
- Other Identifier
- 991019170611404721
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InCites Highlights
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- Web of Science research areas
- Engineering, Civil
- Engineering, Mechanical
- Materials Science, Characterization & Testing