Mooring-Failure Monitoring of Submerged Floating Tunnel Using Deep Neural Network

Mooring-Failure Monitoring of Submerged Floating Tunnel Using Deep Neural Network

This paper presents a machine learning method for detecting the mooring failures of SFT (submerged floating tunnel) based on DNN (deep neural network). The floater-mooring-coupled hydro-elastic time-domain numerical simulations are conducted under various random wave excitations and failure/intact s...

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Bibliographic Details
Main Authors: Do-Soo Kwon, Chungkuk Jin, MooHyun Kim, Weoncheol Koo
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Applied Sciences
Subjects:
submerged floating tunnel
deep neural network
machine learning
sensor optimization
failure monitoring accuracy
mooring line
Online Access:https://www.mdpi.com/2076-3417/10/18/6591

Internet

https://www.mdpi.com/2076-3417/10/18/6591

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