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 …

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 …

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 …

[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 …

Convolutional neural network–based data recovery method for structural health monitoring

BK Oh, B Glisic, Y Kim, HS Park - Structural Health …, 2020 - journals.sagepub.com
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 …

[HTML][HTML] Detection and quantification of temperature sensor drift using probabilistic neural networks

M Pereira, B Glisic - Expert Systems with Applications, 2023 - Elsevier
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 …

Real-time structural damage assessment using LSTM networks: regression and classification approaches

S Sharma, S Sen - Neural Computing and Applications, 2023 - Springer
Structural health monitoring (SHM) techniques rarely consider the effect of ambient
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

T Siwowski, M Rajchel, T Howiacki, R Sieńko… - Engineering …, 2021 - Elsevier
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 …

[HTML][HTML] Monitoring epoxy coated steel under combined mechanical loads and corrosion using fiber Bragg grating sensors

L Xu, D Zhang, Y Huang, S Shi, H Pan, Y Bao - Sensors, 2022 - mdpi.com
Fiber Bragg grating (FBG) sensors have been applied to assess strains, stresses, loads,
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

BK Oh, HS Park, B Glisic - Automation in Construction, 2021 - Elsevier
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 …