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About Infrastructure Rehabilitation and Monitoring
This lecture discusses recent developments in infrastructure health monitoring, including nonlinear guided wave-based damage detection, artificial intelligence for data fusion and prediction, mixed reality for data visualization, and bridge information modeling (BrIM)-based structural health monitoring. Nonlinear effects such as harmonic generation and wave modulation are introduced for micro-damage detection. An example is given of using artificial neural networks for feature extraction from sensor data and fatigue crack identification. Applications of convolutional neural networks to image-based crack detection in concrete and mixed reality technologies for data visualization are also presented. Finally, the use of bridge information modeling to integrate structural health monitoring data within a digital model of a bridge is described through a case study.
Detailed Information
| Author: | ['googkit'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 33 |
| Language: | English |
| Format: | |
| Price: | FREE |
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