Application of fiber optic sensing technology in anchor monitoring

2000 ◽  
Author(s):  
Lei Liang ◽  
Desheng Jiang ◽  
Dongya Sun
Keyword(s):  
Fiber Optic ◽  
Sensing Technology ◽  
Fiber Optic Sensing

Fiber optic sensing technology for detecting gas hydrate formation and decomposition

2011 ◽  
Vol 82 (2) ◽  
pp. 024501 ◽  
Author(s):  
C. J. Rawn ◽  
J. R. Leeman ◽  
S. M. Ulrich ◽  
J. E. Alford ◽  
T. J. Phelps ◽  
...  
Keyword(s):  
Gas Hydrate ◽  
Fiber Optic ◽  
Hydrate Formation ◽  
Sensing Technology ◽  
Gas Hydrate Formation ◽  
Fiber Optic Sensing

Improving explosives detection using fiber-optic sensing technology

2009 ◽  
Author(s):  
Jianjun Ma ◽  
Wojtek J. Bock ◽  
Xianzhe Li ◽  
Huy Nguyen ◽  
Zhi Yuan Wang ◽  
...  
Keyword(s):  
Fiber Optic ◽  
Explosives Detection ◽  
Sensing Technology ◽  
Fiber Optic Sensing

scholarly journals Distributed Fiber Optic Sensing Technology in the Extreme Range of Civil Engineering

2017 ◽  
Author(s):  
A. Kindler ◽  
K. Nycz ◽  
S. Grosswig ◽  
T. Pfeiffer ◽  
M.B. Schaller ◽  
...  
Keyword(s):  
Fiber Optic ◽  
Civil Engineering ◽  
Sensing Technology ◽  
Fiber Optic Sensing

Use of fiber optic sensing to measure distributed rail strains and determine rail seat forces under a moving train

2019 ◽  
Vol 56 (1) ◽  
pp. 1-13 ◽  
Author(s):  
L.N. Wheeler ◽  
W.A. Take ◽  
N.A. Hoult ◽  
H. Le
Keyword(s):  
Optical Fiber ◽  
Fiber Optic ◽  
Image Correlation ◽  
Monitoring Site ◽  
Sensing Technology ◽  
Highly Sensitive ◽  
Fiber Optic Sensing ◽  
Rail Deflection ◽  
And Behavior ◽  
The Relationship

Rayleigh backscatter fiber optic sensing permits dynamic strains to be measured along an optical fiber with a gauge spacing and temporal resolution sufficient for rail applications. However, this sensing technology is highly sensitive to vibration. A 7.5 m long section of rail was instrumented with optical fiber and strain measurements were recorded during passage of a freight train slowed to 8–11 km/h. This strategy to minimize rail vibration was successful in permitting distributed dynamic rail strains to be measured under freight car loading. The measured rail strains were used to determine the rail shear forces, which were then used with the static wheel loads to determine the rail seat load for 14 consecutive sleepers as the train passed over the field monitoring site. These data were then combined with measurements of dynamic rail displacement captured using digital image correlation to infer the rail seat load–deflection relationships for individual sleepers. These relationships were observed to provide significantly more detailed information about unsupported voids and the sleeper contact stiffnesses than the traditional consideration of the relationship between applied load and rail deflection and highlights how track behavior at a monitored location can be dependent on the conditions and behavior of neighbouring sleeper.

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