2018
DOI: 10.1002/stc.2141
|View full text |Cite
|
Sign up to set email alerts
|

Utilising hydraulic transient excitation for fatigue crack monitoring of a cast iron pipeline using optical distributed sensing

Abstract: Summary Corrosion‐induced failures are common in cast iron pipes used in water supply networks. Over times, cracks may initiate from the corroded pits and grow when subjected to fatigue internal loading. When the particular region of the pipe loses its structural capacity, it will eventually lead to leakage or even pipe burst. Thus, it is important to perform permanent and real‐time integrity monitoring on these pipelines. Distributed optical fibre sensors (DOFS) have been proposed to monitor the structural he… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
10
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 12 publications
(10 citation statements)
references
References 22 publications
0
10
0
Order By: Relevance
“…Moreover, the sticking process of the strain gauge is complex and time-consuming, so it is not suitable for occasions with narrow patch space and limited operation. The distributed optical fiber sensor is arranged on the outer wall of the cast iron pipe to obtain the stress spectrum at the initial defect of the pipe in case of severe corrosion, thus studying the crack propagation law in [9]. However, the fiber grating sensor being vulnerable and expensive, it needs to cooperate with the heavier demodulation equipment to complete the optical-electrical signal conversion, which does not apply to the long-period load spectrum collection.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the sticking process of the strain gauge is complex and time-consuming, so it is not suitable for occasions with narrow patch space and limited operation. The distributed optical fiber sensor is arranged on the outer wall of the cast iron pipe to obtain the stress spectrum at the initial defect of the pipe in case of severe corrosion, thus studying the crack propagation law in [9]. However, the fiber grating sensor being vulnerable and expensive, it needs to cooperate with the heavier demodulation equipment to complete the optical-electrical signal conversion, which does not apply to the long-period load spectrum collection.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, fiber optic sensing, with its superior properties including exemption of electricity supply and cumbersome wiring, immunity to electromagnetic interference, lightweight, long‐distance transmission, anti‐corrosion, and strong applicability in inferior environments, 18–20 is considered as an ideal candidate. Optical fiber sensors, mainly inclusive of the fiber Bragg grating (FBG) and distributed optical fiber sensors, have proved their potential applicability in pipeline monitoring 21–26 . Over the past years, FBG sensors emerge as a cost‐effective and reliable choice in this area.…”
Section: Introductionmentioning
confidence: 99%
“…Optical fiber sensors, mainly inclusive of the fiber Bragg grating (FBG) and distributed optical fiber sensors, have proved their potential applicability in pipeline monitoring. [21][22][23][24][25][26] Over the past years, FBG sensors emerge as a cost-effective and reliable choice in this area. They already find wide applications in the monitoring of pipelines for transporting riskier hydrocarbon liquids (e.g., fossil fuels, gases, and chemicals) and in harsh environmental conditions (e.g., subsea pipelines).…”
Section: Introductionmentioning
confidence: 99%
“…According to the mathematical model of the pipeline and the changes of the measured parameters, the pipeline leakage can be detected. There are mainly negative pressure wave method, 19 pressure gradient method, 20 water balance method, 21 and transient analysis method 22,23 . These methods can be used for real‐time monitoring.…”
Section: Introductionmentioning
confidence: 99%