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A platform for research: civil engineering, architecture and urbanism
Triplet Loss-Based Concrete Crack Verification for Structural Health Monitoring and Digital Twin Applications
This paper proposes a novel deep-learning approach for verifying concrete cracks, leveraging a Siamese network with triplet loss. Inspired by FaceNet, the model is trained on an augmented “Crack dataset” containing rotations and shearing to enhance its ability to distinguish subtle crack variations. This method facilitates the evolution-centric monitoring of cracks, enabling early detection of potential failures and contributing to the development of digital twins for structural health moni-toring. The model achieves high accuracy (97.36 %) and precision (95.77 %) in verifying crack patterns, demonstrating its potential for improving infrastructure maintenance and safety.
Triplet Loss-Based Concrete Crack Verification for Structural Health Monitoring and Digital Twin Applications
This paper proposes a novel deep-learning approach for verifying concrete cracks, leveraging a Siamese network with triplet loss. Inspired by FaceNet, the model is trained on an augmented “Crack dataset” containing rotations and shearing to enhance its ability to distinguish subtle crack variations. This method facilitates the evolution-centric monitoring of cracks, enabling early detection of potential failures and contributing to the development of digital twins for structural health moni-toring. The model achieves high accuracy (97.36 %) and precision (95.77 %) in verifying crack patterns, demonstrating its potential for improving infrastructure maintenance and safety.
Triplet Loss-Based Concrete Crack Verification for Structural Health Monitoring and Digital Twin Applications
Neyestani, Arman (author) / Picariello, Francesco (author) / Tudosa, Ioan (author) / Daponte, Pasquale (author) / De Vito, Luca (author)
2024-10-21
2238942 byte
Conference paper
Electronic Resource
English
Concrete Crack Detection from Video Footage for Structural Health Monitoring
| Springer Verlag | 2021