buried cables
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2021 ◽  
Vol 38 ◽  
pp. 148-153
Author(s):  
Zhiwei Lu ◽  
Dan Pang ◽  
Yizhu Zhang ◽  
Yanyang Li ◽  
Yingming Zhou ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Cheng-Cheng Zhang ◽  
Bin Shi ◽  
Song Zhang ◽  
Kai Gu ◽  
Su-Ping Liu ◽  
...  

AbstractVertical deformation profiles of subterranean geological formations are conventionally measured by borehole extensometry. Distributed strain sensing (DSS) paired with fiber-optic cables installed in the ground opens up possibilities for acquiring high-resolution static and quasistatic strain profiles of deforming strata, but it is currently limited by reduced data quality due to complicated patterns of interaction between the buried cables and their surroundings, especially in upper soil layers under low confining pressures. Extending recent DSS studies, we present an improved approach using microanchored fiber-optic cables—designed to optimize ground-to-cable coupling at the near surface—for strain determination along entire lengths of vertical boreholes. We proposed a novel criterion for soil–cable coupling evaluation based on the geotechnical bearing capacity theory. We applied this enhanced methodology to monitor groundwater-related vertical motions in both laboratory and field experiments. Corroborating extensometer recordings, acquired simultaneously, validated fiber optically determined displacements, suggesting microanchored DSS as an improved means for detecting and monitoring shallow subsurface strain profiles.


2020 ◽  
Vol 185 ◽  
pp. 01071
Author(s):  
Xianjin Yang ◽  
Jingqing Ye ◽  
Guangyuan Yao ◽  
Junfeng Chi ◽  
Jiali Du

The article comes up with a measure that uses fiber vibration sensing technology to avoid external intrusion harm on electric cables, dealing with the problem that buried cables are sometimes destroyed by constructions. This measure is based on dual Mach-Zehnder(M-Z) interference, and it makes use of power grids’ fiber-optic cables laid in the cable trench—along with the electric cables—as sensors. These sensors could monitor vibration near to optical cables and trench, and recognize the events that vibrate the cable, and finally judge the extent of the harm caused by the events. The article also try to find out a more reliable and more efficient mechanism of patrolling electric cables, which is based on the abovementioned measure.


2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Chen-Zhao Fu ◽  
Wen-Rong Si ◽  
Lei Quan ◽  
Jian Yang

Trefoil buried cable is one of the important cable arrangements for the underground transmission line, and its heat transfer performance is relatively poor. By filling with fluidized thermal backfill material (FTB) around trefoil buried cables, the heat transfer would be efficiently enhanced, while the filling cost should also be considered. In the present study, the heat transfer process in the FTB trefoil buried cables is numerically studied, where the cable core loss and eddy current loss in the cable were coupled for the simulation. The heat transfer performances and ampacities for trefoil buried cables with different back fill materials were analysed and compared with each other. Then, the laying parameters for the parabolic-type FTB trefoil buried cables were optimized with the radial basis function neural network (RBNN) and genetic algorithm (GA). Firstly, it is found that, with FTB material, the maximum temperature in the cable core is obviously reduced, and the cable ampacity is greatly improved as compared with the cables buried around natural soil (NS). Secondly, when compared with flat-type FTB model, the heat transfer rate in the cable with parabolic-type FTB laying method would be slightly reduced, while the FTB amount used for the buried cables is greatly reduced. Finally, as for parabolic-type FTB trefoil buried cables, with proper design of geometric parameters (s1 = 0.290 m, s2 = 0.302 m, and l = 0.3 m with I = 1300 A) for the FTB laying cross section, the overall performance for the cable was optimized.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 4709-4725 ◽  
Author(s):  
Antonio Bracale ◽  
Pierluigi Caramia ◽  
Pasquale De Falco ◽  
Andrea Michiorri ◽  
Angela Russo
Keyword(s):  

2018 ◽  
Vol 33 (4) ◽  
pp. 1628-1635 ◽  
Author(s):  
Hiroki Tanaka ◽  
Yoshihiro Baba ◽  
Celio Fonseca Barbosa ◽  
Toshihiro Tsuboi ◽  
Shigemitsu Okabe

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