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A Bayesian Approach to the Estimation of Road Profile and Bridge Damage from a Fleet Passing Vehicle Measurements.
- Source :
- International Journal of Structural Stability & Dynamics; Feb2024, Vol. 24 Issue 4, p1-31, 31p
- Publication Year :
- 2024
-
Abstract
- This paper presents a new way to determine road profile and detect bridge damage using accelerations from a fleet of passing vehicles. Using off-bridge data, a Bayesian approach updates estimates of the road profile and vehicle properties. The profile elevations and vehicle properties are shown to be insensitive to random noise in acceleration measurements. On-bridge data, with recently updated vehicle properties, are used to estimate bridge damage. Bearing damage and local crack damage in a bridge are simulated. For bearing damage, the results show that this method can quantify the damage level of a bearing and infer other bridge properties. For local crack damage, the levels and the location of the damage are inferred from the simulated measurements. [ABSTRACT FROM AUTHOR]
- Subjects :
- ACCELERATION measurements
NOISE measurement
BRIDGES
Subjects
Details
- Language :
- English
- ISSN :
- 02194554
- Volume :
- 24
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- International Journal of Structural Stability & Dynamics
- Publication Type :
- Academic Journal
- Accession number :
- 176107797
- Full Text :
- https://doi.org/10.1142/S0219455424500408