Real-time monitoring of local scour by using fiber Bragg grating sensors

Lin, Yung-Bin; Chen, Jin-Chong; Chang, Kuo‐Chun; Chern, J. C.; Lai, Jihn‐Sung

doi:10.1088/0964-1726/14/4/025

Cited by 65 publications

(46 citation statements)

References 19 publications

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“…(7) Scouring monitoring Local scour is one of the major factors causing bridge failure. A real-time monitoring system for bridge scouring, using FBG sensors, has been developed and installed in field [7]. This FBG scour-monitoring system can measure both the processes of scouring/deposition and variations in the water level.…”

Section: Applications Of Optical Fiber Sensors On Structural Health Mmentioning

confidence: 99%

Structural Health Monitoring Activities of Applying Optical Fiber Sensors in Taiwan

Wang

Chen

2006

Optical Fiber Sensors

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Section: Applications Of Optical Fiber Sensors On Structural Health Mmentioning

confidence: 99%

Structural Health Monitoring Activities of Applying Optical Fiber Sensors in Taiwan

Wang

Chen

2006

Optical Fiber Sensors

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“…Many other researchers have also evaluated the long‐term monitoring performance of FBG sensors by carrying out health monitoring assessment of existing bridges . Furthermore, in terms of new developments in the sensing technique of FBG sensor, many researchers have proposed new FBG sensing schemes for health monitoring of highway bridges . Applications of FBG sensors are also widespread to other infrastructure facilities, mainly including wind turbines and tunnels.…”

Section: Introductionmentioning

confidence: 99%

“…[32][33][34][35][36] Furthermore, in terms of new developments in the sensing technique of FBG sensor, many researchers have proposed new FBG sensing schemes for health monitoring of highway bridges. [37][38][39][40][41] Applications of FBG sensors are also widespread to other infrastructure facilities, mainly including wind turbines and tunnels. Kim et al 42 investigated the deflection response of the blades of wind turbines using FBG sensors.…”

Section: Introductionmentioning

confidence: 99%

Fibre Bragg grating sensor-based damage response monitoring of an asymmetric reinforced concrete shear wall structure subjected to progressive seismic loads

Zhang

Alam

Sun

et al. 2018

Struct Control Health Monit

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Summary This research explores the seismic damage response of a frame–shear wall reinforced concrete structure exposed to progressive seismic excitations. The shear wall structure is a three‐storey one‐quarter‐scaled reinforced concrete structure. The test was conducted by applying progressive seismic excitations using a shaking table. The shear wall structure experienced inelastic deformations under high seismic excitations that eventually caused the transformation of the structure from a state of elastic deformation to a state of highly inelastic deformation. Damage in the form of plastic hinges occurred because of induced dynamic instability in the structure. The monitored seismic responses in this research includes the variation in the residual strains and their dynamic time histories. Precise and detailed measurements of varying strain responses and effective estimation of damage response within the structure have been a primary goal in this research. Successful implementation of fibre Bragg grating (FBG) strain sensor is presented and applied in this experiment because of its enhanced sensitivity towards monitoring the structural dynamic strain response. The presented research also evaluates the suitability of FBG strain sensors in dynamic testing of a frame–shear wall asymmetric structure by comparing the damage response obtained through FBG sensors and the predictions developed from the dynamic properties of the test structure, monitoring the progress in structural damage and predicting the cracks inside the structure. The monitored responses obtained through a series of tests prove that FBG sensors have the advantages of significant accuracy, small size, and good embedding abilities. It demonstrates its promising failure monitoring abilities and potentials for the crack detection. The results achieved through this research would be beneficial to validate existing numerical simulation and analytical procedures, particularly for the structures with inherent asymmetry. It has been demonstrated in this paper that (a) the structure entered into the critical state when the ground motion excitation was 0.5 g with invisible cracks, (b) a sudden change in the residual strain response can help in detecting the initiation of a crack, and (c) the damages in the structure were due to the formation of the plastic hinges at the flexible edge of the structure near the beam–column joints.

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“…Fukui and Otuka (2002) observed pier scour by using a ring with magnetic sensors to obtain the maximum scour depth during the flood peak. Lin et al (2005Lin et al ( , 2006) applied a scour monitoring system using fibre Bragg grating (FBG ) sensors to observe pier scour in the field during a typhoon period. The time domain reflectometry (TDR) system (Lin et al, 2006;Yankielun and Zabilansky, 1999) is another method for measuring pier scour depth.…”

Section: Introductionmentioning

confidence: 99%

Multi-lens pier scour monitoring and scour depth prediction

Chang¹,

Lin²,

Lai³

et al. 2014

Proceedings of the Institution of Civil Engineers - Water Manag

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Severe pier scour is usually the major cause of bridge failures. It is therefore crucial to develop various scour monitoring techniques and prediction models for real-time warning of bridge safety. In the present study, a multilens monitoring system for pier scour under laboratory conditions has been developed. By utilising a plurality of lenses, this system is capable of tracking scour images and obtaining real-time scour-depth variation through a series of image recognition processes. Laboratory experiments under unsteady flow conditions were carried out to validate the proposed monitoring method. Then, three time-dependent scour prediction models were employed for simulation and comparison with the measured data. In order to improve the scour prediction results, with the realtime scour monitoring data, a data assimilation scheme is proposed and applied to the scour model under clear-water scour conditions. The result shows that the accuracy of scour prediction for a lead time of 3 h can be improved significantly. NotationA 0 cross-sectional area of the primary vortex at time 0 A t cross-sectional area of the primary vortex at time t B D bottom boundary position of the image B U top boundary position of the image C Ft model parameter depending on the threshold Froude number D pier diameter D s dimensionless scour depth D se dimensionless equilibrium scour depth D v diameter of primary vortex d 50sediment size for which 50% of the sediment is finer d 0 sediment particle size F d densimetric particle Froude number F t threshold Froude number H approach flow depth K d adjustment factor for sediment size effect K h adjustment factor for flow depth effect K v adjustment factor to account for the effect of flow intensity K ó adjustment factor to account for the effect of sediment non-uniformity N shape factor P H total pixel number of the image height P 0 initial scour position on the image p t average probability of particle movement at time t P(t) scour position on the image at time t Q flow discharge S scour depth S e equilibrium scour depth S n accumulated scour depth after the switch of the lenses S R reference length S s specific gravity of sediment S(t) scour depth at time t T dimensionless time T9 relative timê T 9 T 9 fictitious starting time T c time parameter t time t d total time duration 88 t e equilibrium time of scour t R reference time uÃ t shear velocity at time t V approach flow velocity AE model coefficient in Equations 10 and 11 S an increment of scour depth tÃ time required for an increment of scour depth ª specific weight of water ª s specific weight of sediment r fluid density ó g geometric standard deviation of sediment size distribution ô c critical shear stress ô 0 shear stress in the approach flow ô t bed shear stress at time t j repose angle of sediment

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Real-time monitoring of local scour by using fiber Bragg grating sensors

Cited by 65 publications

References 19 publications

Structural Health Monitoring Activities of Applying Optical Fiber Sensors in Taiwan

Structural Health Monitoring Activities of Applying Optical Fiber Sensors in Taiwan

Fibre Bragg grating sensor-based damage response monitoring of an asymmetric reinforced concrete shear wall structure subjected to progressive seismic loads

Multi-lens pier scour monitoring and scour depth prediction

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