Data-Driven Modal Equivalent Standardization for Early Damage Detection in Bridge Structural Health Monitoring
Publication: Journal of Engineering Mechanics
Volume 149, Issue 1
Abstract
Environment-induced nonlinear and seasonal variabilities in modal frequency are still a major challenge for bridge damage detection and condition assessment. Almost all techniques focus on the method’s improvement and ignore its linear or multivariate Gaussian distribution assumptions with unsatisfactory detection accuracy. Little attention was given to the feasibility of environmental suppression before damage detection. A data-driven modal equivalent standardization (MES) method is developed without environmental measurements. The nearest neighbor modal set is first searched from the bridge modal baseline training database based on a similarity measure that corresponds to several smaller Euclidean distances. Then, the MES method is implemented by the localized mean and standard deviation. After this analysis, a damage detection model based on the slow feature analysis is established. A real bridge case verifies the method’s validity in an environment-tolerant capacity, Gaussification of data distribution, and modal variable linearization, which outperforms global data standardization for damage detection.
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Data Availability Statement
All data, models, or code generated or used during the study are available from the corresponding author by request.
Acknowledgments
This research work was jointly supported by the National Natural Science Foundation of China (Grant Nos. 51978128 and 52078102) and the Fundamental Research Funds for the Central Universities (Grant No. DUT22ZD213).
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© 2022 American Society of Civil Engineers.
History
Received: May 27, 2022
Accepted: Sep 14, 2022
Published online: Oct 25, 2022
Published in print: Jan 1, 2023
Discussion open until: Mar 25, 2023
ASCE Technical Topics:
- Bridge engineering
- Bridge tests
- Bridges
- Climates
- Continuum mechanics
- Detection methods
- Dynamics (solid mechanics)
- Engineering fundamentals
- Engineering mechanics
- Environmental engineering
- Field tests
- Gaussian process
- Linear functions
- Mathematical functions
- Mathematics
- Methodology (by type)
- Motion (dynamics)
- Natural frequency
- Oscillations
- Probability
- Seasonal variations
- Solid mechanics
- Stochastic processes
- Structural engineering
- Structural health monitoring
- Tests (by type)
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