Structural Online Damage Identification and Dynamic Reliability Prediction Method Based on Unscented Kalman Filter
Yan Zhang, Yongbo Zhang, Jinhui Yu, Fei Zhao, Shihao Zhu · 2024
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Description
Yan Zhang and co-authors set out a 2024 method for spotting damage in structures while they are in use. Sensors now watch bridges and machines over time, but fast, accurate calls on damage and remaining safety are still hard. The team's method starts with a filter that tracks the state of the structure from sensor data. It treats wear as a random process that grows over time.
After the filter finds the damage state, a second algorithm fits the wear model's parameters. A conditional probability step then updates the chance the system stays safe. In simulations, the method tracked damage well during use. It also gave updated safety forecasts in real time. The authors aim the approach at health management for working structures.
Catalog record
| CREATOR | Yan Zhang, Yongbo Zhang, Jinhui Yu, Fei Zhao, Shihao Zhu |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 27 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |