Journal article
Bridge weigh-in-motion using augmented Kalman filter and model updating
Journal of civil structural health monitoring, v 12(3), pp 593-610
26 Mar 2022
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Most of the bridge weigh-in-motion (B-WIM) systems in use adopt the static approach. For these systems, dynamic components of the bridge response constitute a significant cause of the prediction discrepancy. This study presents the framework of B-WIM leveraging the augmented Kalman filter, in which the bridge dynamic responses and the vehicle weights are estimated simultaneously. This approach considers the uncertainties from the modeling to the experimental measurement in a stochastic way. Structural identification is embedded to calibrate the digital model of the tested structure for a reliable mathematical representation. Parameter tuning of the Kalman filter method using optimization is also established. The effectiveness of the proposed method is then tested with a scaled model. The results show that the method can successfully estimate the weight of the vehicle with reasonable accuracy.
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Details
- Title
- Bridge weigh-in-motion using augmented Kalman filter and model updating
- Creators
- Xiangang Lai - Drexel UniversityMustafa Furkan - Drexel Univ, 3141 Chestnut St Curtis 251, Philadelphia, PA 19104 USAIvan Bartoli - Drexel UniversityA. Emin Aktan - Drexel UniversityKirk Grimmelsman - Product Innovation and Engineering (United States) (United States, Saint James) - LLC
- Publication Details
- Journal of civil structural health monitoring, v 12(3), pp 593-610
- Publisher
- Springer Nature
- Number of pages
- 18
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering; [Retired Faculty]
- Web of Science ID
- WOS:000773823400001
- Scopus ID
- 2-s2.0-85127240887
- Other Identifier
- 991019168495704721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Civil