Journal article
Mitigating Epistemic Uncertainty in Structural Identification: Case Study for a Long-Span Steel Arch Bridge
Journal of structural engineering (New York, N.Y.), v 137(1)
Jan 2011
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Characterization of constructed civil-engineering systems through structural identification (St-Id) has gained increasing attention in recent years due to its potential to enable more effective infrastructure asset management and performance-based engineering. Although there have been recent advances that mitigate the challenges posed by aleatory (random) uncertainty, there are many remaining challenges associated with epistemic (bias) uncertainty that often have a more critical impact on the reliability of St-Id (especially with applications to constructed systems). The objective of this paper is to illustrate various sources of epistemic uncertainty and describe mitigation approaches by detailing the St-Id of a long-span steel arch bridge. This application includes a priori modeling, ambient vibration monitoring, data processing, feature extraction, and finite-element (FE) model correlation. Following a description of the St-Id, the impact of various modeling uncertainties on the calibrated FE model is evaluated by comparing different identification scenarios. Finally, a simple and rational approach to “truth testing” the identified model is developed and employed to determine its admissibility.
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Details
- Title
- Mitigating Epistemic Uncertainty in Structural Identification: Case Study for a Long-Span Steel Arch Bridge
- Creators
- Qin Pan - BechtelKirk Grimmelsman - Bechtel (United States)Franklin Moon - BechtelEmin Aktan - Bechtel
- Publication Details
- Journal of structural engineering (New York, N.Y.), v 137(1)
- Publisher
- American Society of Civil Engineers
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering; [Retired Faculty]
- Web of Science ID
- WOS:000285478600001
- Scopus ID
- 2-s2.0-78650356183
- Other Identifier
- 991019169675504721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Construction & Building Technology
- Engineering, Civil