Semantic Scholar Open Access 2020 35 sitasi

Detectability of Bridge-Structural Damage Based on Fiber-Optic Sensing through Deep-Convolutional Neural Networks

Sheng Li Lizhi Sun

Abstrak

AbstractImproving the accuracy and efficiency of damage detection of bridge structures is a major challenge in engineering practice. This paper aims to address this issue by monitoring the continuo...

Topik & Kata Kunci

Computer Science

Penulis (2)

Sheng Li

Lizhi Sun

Format Sitasi

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Li, S., Sun, L. (2020). Detectability of Bridge-Structural Damage Based on Fiber-Optic Sensing through Deep-Convolutional Neural Networks. https://doi.org/10.1061/(asce)be.1943-5592.0001531

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Total Sitasi: 35×
Sumber Database: Semantic Scholar
DOI: 10.1061/(asce)be.1943-5592.0001531
Akses: Open Access ✓