Transfer-AE: a novel autoencoder-based impact detection model for structural digital twin

Transfer-AE: a novel autoencoder-based impact detection model for structural digital twin

Accurately detecting the location and intensity of impacts is crucial for ensuring structural safety. Currently, AI-based structural impact detection methods are widely used for their excellent detection accuracy. However, their generalization capability is limited by the scenarios present in the tr...

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Bibliographic Details
Main Authors: Han, Chengjia, Wang, Zixin, Fu, Yuguang, Dyke, Shirley, Shahriar, Adnan
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2024
Subjects:
Engineering
Digital Twin
Impact quantification
Online Access:https://hdl.handle.net/10356/180738
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/180738

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