Application of C-LSTM Networks to Automatic Labeling of Vehicle Dynamic Response Data for Bridges

Application of C-LSTM Networks to Automatic Labeling of Vehicle Dynamic Response Data for Bridges

Maintaining bridges that support road infrastructure is critical to the economy and human life. Structural health monitoring of bridges using vibration includes direct monitoring and drive-by monitoring. Drive-by monitoring uses a vehicle equipped with accelerometers to drive over bridges and estima...

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Bibliographic Details
Main Authors: Okada, Y. (Author), Shin, R. (Author), Yamamoto, K. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Automatic labelling
Bridge monitoring
C-LSTM
Convolution—long-term short memory
Digital storage
drive-by bridge monitoring
Drive-by bridge monitoring
field test
Field test
Long short-term memory
Memory network
neural network
Neural-networks
Structural health monitoring
vehicle bridge interaction
Vehicle vibrations
Vehicle-bridge interaction
Vehicles
Vehicle's dynamics
Vibrations (mechanical)
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