FBG sensors for the measurement of the dynamic response of offshore oil platform model

Li Sun; Hongnan Li; Qiao Jin

doi:10.1117/12.599003

9 May 2005 FBG sensors for the measurement of the dynamic response of offshore oil platform model

Li Sun, Hongnan Li, Qiao Jin

Proceedings Volume 5768, Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems IV; (2005) https://doi.org/10.1117/12.599003
Event: Nondestructive Evaluation for Health Monitoring and Diagnostics, 2005, San Diego, CA, United States

Abstract

The dynamic response of offshore oil platform under seismic excitation is the coupling response of liquid and solid vibration. In recent years, the computation of dynamic responses and design of offshore platform have attracted the attention of many researchers. This paper presents a shaking table test of offshore oil platform model scaled down an actual one. Fiber Bragg grating is a new measurement technology with its superior ability of explosion proof, immunity to electromagnetic interference and high accuracy. In this paper, FBG sensors are used to monitor the dynamic response of offshore oil platform model on line. Ten FBG sensors are installed, one of which is temperature sensor, two of which are acceleration sensors and the others of which are strain sensors. One FBG accelerometer is placed on the surface of the shaking table; and another one is placed on the top surface of the offshore oil platform model. FBG strain sensors are placed on the key parts of the platform model. Some traditional strain gauges are installed in parallel with FBG strain sensors. In this experiment, electromagnetic interference of strain gauge is very big, while the FBG strain sensor has not this phenomenon. Based on the experiments results, it can be concluded that FBG sensor is superior to strain gauge.

Citation Download Citation

Li Sun, Hongnan Li, and Qiao Jin "FBG sensors for the measurement of the dynamic response of offshore oil platform model", Proc. SPIE 5768, Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems IV, (9 May 2005); https://doi.org/10.1117/12.599003

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