Study on Buried Pipeline Security and Early-Warning System in Landslide Area Based on Fiber Bragg Grating Sensors

Author(s):  
Jianping Liu ◽  
Hongju Wang ◽  
Jianbin Hao ◽  
Pengchao Chen ◽  
Muyang Ai

Compared with electric sensors, Fiber Bragg Grating (FBG) sensors are immune to electromagnetic interference, corrosion resistant, small in size and light in weight. Therefore, FBG sensors are easy to bury into geotechnical soil mass, measuring strain and temperature simultaneously. Focused on buried pipeline integrity, a type of sensing network made up of FBG sensors is introduced in this paper, monitoring pipeline strain, landslide surface displacement and inner displacement. An application of the sensing network to a huge landslide affecting a gas mainline is also introduced. The field experimental data show that, the FBG sensors have many advantages such as good real-time monitoring ability, flexible to develop sensing network, convenient to realize long-term monitoring. Moreover, the FBG sensors give reliable long-term monitoring data of pipeline strain and surface and inner displacement of the landslide, which provide the basis to evaluate pipelines integrity affected by landslides.

Author(s):  
G P Hammersley ◽  
M J Dill

An important step in the progress towards smart structures is the development of reliable systems for the long-term monitoring of performance. Data obtained from monitoring can provide an early warning system to maximize the safe use of structures, contribute towards planned maintenance by giving advanced notice of durability or structural problems and provide information on actual performance, which can be fed back into the design process. This paper sets out to describe some developments in permanent in situ monitoring systems which have achieved practical use on civil engineering and building structures constructed from concrete, concentrating on the key area of corrosion of reinforced and post-tensioned concrete. The techniques are illustrated with case histories.


2010 ◽  
Vol 32 (8) ◽  
pp. 1993-2002 ◽  
Author(s):  
Carlos Rodrigues ◽  
Carlos Félix ◽  
Armindo Lage ◽  
Joaquim Figueiras

2017 ◽  
Vol 19 (3) ◽  
pp. 269-277 ◽  
Author(s):  
Hyun-Jong Sung ◽  
Tan Manh Do ◽  
Jae-Min Kim ◽  
Young-Sang Kim

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2288
Author(s):  
Guo-Xi Fan ◽  
Fan-Tong Lin ◽  
Peng Li ◽  
Ji-Gang Han ◽  
Huai-Shuai Shang ◽  
...  

Fiber Bragg Grating (FBG) sensors, with excellent properties, have been widely adopted to monitor the mechanical parameters in civil engineering in recent years. On the other hand, the current study on fatigue performance of corroded prestressed steel strands is still limited, and this is mainly because the long-term strain conditions monitoring is difficult to conduct. Based on the aforementioned considerations, a total of six beam specimens were fabricated in this study. The loading mode of four points bending was adopted in the form of sinusoidal waves in the experiments. On basis of the experimental results, it can be concluded that the fatigue life of the beam decreases sharply with the increase of the corrosion rate of steel strands. Besides, with the increase of the maximum fatigue load, the fatigue life of the beam will decrease significantly. Furthermore, the existing fatigue damage of steel strand inside the beam before corrosion may further accelerate its fatigue failure. As a result, the fatigue life of the beam is reduced because of the stress concentration. Under the same external load, the strain increment and the residual strain of steel strands in the stages of loading and unloading after corrosion increase significantly compared with other stages, while the existing residual strain always shows an increasing trend at various static loading stages. Therefore, the corrosion of steel strand seriously affects not only its mechanical properties, but also its fatigue performance. Finally, the FBG sensors are capable of measuring the steel strand strain, as well as the long-term strain conditions.


Author(s):  
Barbara S. Minsker ◽  
Charles Davis ◽  
David Dougherty ◽  
Gus Williams

Sign in / Sign up

Export Citation Format

Share Document