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The current development of structural health monitoring for bridges: A review
Z Deng, M Huang, N Wan, J Zhang - Buildings, 2023 - mdpi.com
The health monitoring system of a bridge is an important guarantee for the safe operation of
the bridge and has always been a research hotspot in the field of civil engineering. This …
the bridge and has always been a research hotspot in the field of civil engineering. This …
Concise historic overview of strain sensors used in the monitoring of civil structures: The first one hundred years
B Glisic - Sensors, 2022 - mdpi.com
Strain is one of the most frequently monitored parameters in civil structural health monitoring
(SHM) applications, and strain-based approaches were among the first to be explored and …
(SHM) applications, and strain-based approaches were among the first to be explored and …
Measurement of cable forces for automated monitoring of engineering structures using fiber optic sensors: A review
Y Yao, M Yan, Y Bao - Automation in Construction, 2021 - Elsevier
Fiber optic sensors represent an innovative technology for automated measurement of cable
forces which are critical in construction and operation of many civil engineering structures …
forces which are critical in construction and operation of many civil engineering structures …
[HTML][HTML] Interpretation of bridge health monitoring data from satellite InSAR technology
D Tonelli, VF Caspani, A Valentini, A Rocca, R Torboli… - Remote Sensing, 2023 - mdpi.com
This paper presents a study on applying satellite Interferometric Synthetic Aperture Radar
(InSAR) technology for the remote monitoring of road bridges and interpreting the results …
(InSAR) technology for the remote monitoring of road bridges and interpreting the results …
Convolutional neural network–based data recovery method for structural health monitoring
In this study, a structural response recovery method using a convolutional neural network is
proposed. The aim of this study is to restore missing strain structural responses when they …
proposed. The aim of this study is to restore missing strain structural responses when they …
[HTML][HTML] Detection and quantification of temperature sensor drift using probabilistic neural networks
Temperature effects are a major driver of strain and deformations in weather-exposed civil
infrastructure, such as bridges and buildings. For such structures, long-term temperature …
infrastructure, such as bridges and buildings. For such structures, long-term temperature …
Real-time structural damage assessment using LSTM networks: regression and classification approaches
Structural health monitoring (SHM) techniques rarely consider the effect of ambient
temperature, even though its impact on the structures being substantial. Moreover, typical …
temperature, even though its impact on the structures being substantial. Moreover, typical …
[HTML][HTML] Distributed fibre optic sensors in FRP composite bridge monitoring: Validation through proof load tests
The distributed fibre optic sensors (DFOS) technique based on Rayleigh scattering has been
chosen as the basic structural health monitoring (SHM) system of the first Polish fibre …
chosen as the basic structural health monitoring (SHM) system of the first Polish fibre …
[HTML][HTML] Monitoring epoxy coated steel under combined mechanical loads and corrosion using fiber Bragg grating sensors
Fiber Bragg grating (FBG) sensors have been applied to assess strains, stresses, loads,
corrosion, and temperature for structural health monitoring (SHM) of steel infrastructure …
corrosion, and temperature for structural health monitoring (SHM) of steel infrastructure …
Prediction of long-term strain in concrete structure using convolutional neural networks, air temperature and time stamp of measurements
A data prediction method for long-term strain measurements from concrete structures based
on the strong correlation between air temperature and structural response is proposed. A …
on the strong correlation between air temperature and structural response is proposed. A …