Seismic damage identification using multi-line distributed fiber optic sensor system

Jinping Ou; Shuang Hou

doi:10.1117/12.612449

13 June 2005 Seismic damage identification using multi-line distributed fiber optic sensor system

Jinping Ou, Shuang Hou

Author Affiliations +

Proceedings Volume 5856, Optical Measurement Systems for Industrial Inspection IV; (2005) https://doi.org/10.1117/12.612449
Event: Optical Metrology, 2005, Munich, Germany

Abstract

Determination of the actual nonlinear inelastic response mechanisms developed by civil structures such as buildings and bridges during strong earthquakes and post-earthquake damage assessment of these structures represent very difficult challenges for earthquake structural engineers. One of the main reasons is that the traditional sensor can't serve for such a long period to cover an earthquake and the seismic damage location in the structure can't be predicted in advance definitely. It is thought that the seismic damage of reinforced concrete (RC) structure can be related to the maximum response the structure, which can also be related to the cracks on the concrete. A distributed fiber optic sensor was developed to detect the cracks on the reinforced concrete structure under load. Fiber optic couples were used in the sensor system to extend the sensor system's capacity from one random point detection to more. An optical time domain reflectometer (OTDR) is employed for interrogation of the sensor signal. Fiber optic sensors are attached on the surface of the concrete by the epoxy glue. By choosing the strength of epoxy, the damage state of the concrete can be responded to the occurrence of the Fresnel scattering in the fiber optic sensor. Experiments involved monotonic loading to failure. Finally, the experimental results in terms of crack detection capability are presented and discussed.

Citation Download Citation

Jinping Ou and Shuang Hou "Seismic damage identification using multi-line distributed fiber optic sensor system", Proc. SPIE 5856, Optical Measurement Systems for Industrial Inspection IV, (13 June 2005); https://doi.org/10.1117/12.612449

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