scholarly journals Study on Dynamic Response Measurement of the Submarine Pipeline by Full-Term FBG Sensors

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Jinghai Zhou ◽  
Li Sun ◽  
Hongnan Li

The field of structural health monitoring is concerned with accurately and reliably assessing the integrity of a given structure to reduce ownership costs, increase operational lifetime, and improve safety. In structural health monitoring systems, fiber Bragg grating (FBG) is a promising measurement technology for its superior ability of explosion proof, immunity to electromagnetic interference, and high accuracy. This paper is a study on the dynamic characteristics of fiber Bragg grating (FBG) sensors applied to a submarine pipeline, as well as an experimental investigation on a laboratory model of the pipeline. The dynamic response of a submarine pipeline under seismic excitation is a coupled vibration of liquid and solid interaction. FBG sensors and strain gauges are used to monitor the dynamic response of a submarine pipeline model under a variety of dynamic loading conditions and the maximum working frequency of an FBG strain sensor is calculated according to its dynamic strain responses. Based on the theoretical and experimental results, it can be concluded that FBG sensor is superior to strain gauge and satisfies the demand of dynamic strain measurement.

Most of the industries have an in-build overhead crane that helps in lifting and transportation of heavy loads from one location of work place to another. Gantry girders are provided to support the loads transmitted through the moving wheels of the overhead cranes. The paper presents the structural health monitoring (SHM) practices that can be implemented for damage detection of gantry girder using Fiber Bragg Grating (FBG) sensors that are positioned on the key parts of the crane. The sensor is designed for monitoring the stress and strain of the girder. The alternating stress was determined based on distributed fiber bragg grating strain sensors. The analysis of the signals based on finite element (FE) models helps to determine the safety condition of the crane.


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