Effective structural impact detection and localization using convolutional neural network and Bayesian information fusion with limited sensors
Due to their unpredictable nature, many impact events (e.g., overheight vehicles striking on bridges) go unnoticed or get reported many hours later. However, they can induce structural failures or hidden damage that accelerates the structure's long-term degradation. Therefore, prompt impact det...
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Main Authors: | Fu, Yuguang, Wang, Zixin, Maghareh, Amin, Dyke, Shirley, Jahanshahi, Mohammad, Shahriar, Adnan, Zhang, Fan |
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Other Authors: | School of Civil and Environmental Engineering |
Format: | Article |
Language: | English |
Published: |
2025
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/182789 |
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Institution: | Nanyang Technological University |
Language: | English |
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