Development of fiber optic acoustic emission (AE) sensor for structural health monitoring in gas pipelines
Deterioration of the steel pipeline systems may result in structure fatigue damage or crack. Early detection of damage can prevent any failures and ensure safe and continuous operation of the transmission gas pipelines. Structural health monitoring (SHM) methods are implemented to assess the cond...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2017
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/72126 |
| _version_ | 1811696970315595776 |
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| author | Bay, Yong Wen |
| author2 | Chan Chi Chiu |
| author_facet | Chan Chi Chiu Bay, Yong Wen |
| author_sort | Bay, Yong Wen |
| collection | NTU |
| description | Deterioration of the steel pipeline systems may result in structure fatigue damage or
crack. Early detection of damage can prevent any failures and ensure safe and continuous
operation of the transmission gas pipelines. Structural health monitoring (SHM) methods
are implemented to assess the condition of structures and achieve early detection of
crack. The use of optical based acoustic emission (AE) sensor for SHM of pipeline is cost
effective and offers many benefits such as the ability to simultaneous monitoring of
several parameters, immunity to electromagnetic interference and corrosion resistance
which make it suitable for continuous real time monitoring of gas pipeline. However,
signal differentiation and damage identification are some challenges for optical based AE
sensor.
This project has proposed and developed an optical Fiber Bragg grating (FBG) system to
monitor three different acoustic event that may occur in the gas pipeline - crack and
impact like signals and gas leakage. The Phase-shifted fiber Bragg grating (PS-FBG)
sensor used in this study has shown conclusive damage identification capabilities in
detecting the AE signals generated by all three acoustic event. Furthermore, signal
differentiation was also achieved by parameter and waveform based analysis of the
recorded AE signals. It was observed that the crack like signal induce higher frequency
order up till 400 kHz range while the impact like signal only in the range of 200 kHz. It is
believed that these positive outcomes of the laboratory-based study on the optical FBG
system can potentially be used for SHM in gas pipelines. |
| first_indexed | 2024-10-01T07:47:49Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/72126 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:47:49Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/721262023-03-03T15:39:47Z Development of fiber optic acoustic emission (AE) sensor for structural health monitoring in gas pipelines Bay, Yong Wen Chan Chi Chiu School of Chemical and Biomedical Engineering DRNTU::Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics Deterioration of the steel pipeline systems may result in structure fatigue damage or crack. Early detection of damage can prevent any failures and ensure safe and continuous operation of the transmission gas pipelines. Structural health monitoring (SHM) methods are implemented to assess the condition of structures and achieve early detection of crack. The use of optical based acoustic emission (AE) sensor for SHM of pipeline is cost effective and offers many benefits such as the ability to simultaneous monitoring of several parameters, immunity to electromagnetic interference and corrosion resistance which make it suitable for continuous real time monitoring of gas pipeline. However, signal differentiation and damage identification are some challenges for optical based AE sensor. This project has proposed and developed an optical Fiber Bragg grating (FBG) system to monitor three different acoustic event that may occur in the gas pipeline - crack and impact like signals and gas leakage. The Phase-shifted fiber Bragg grating (PS-FBG) sensor used in this study has shown conclusive damage identification capabilities in detecting the AE signals generated by all three acoustic event. Furthermore, signal differentiation was also achieved by parameter and waveform based analysis of the recorded AE signals. It was observed that the crack like signal induce higher frequency order up till 400 kHz range while the impact like signal only in the range of 200 kHz. It is believed that these positive outcomes of the laboratory-based study on the optical FBG system can potentially be used for SHM in gas pipelines. Bachelor of Engineering (Chemical and Biomolecular Engineering) 2017-05-29T01:24:26Z 2017-05-29T01:24:26Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/72126 en Nanyang Technological University 79 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics Bay, Yong Wen Development of fiber optic acoustic emission (AE) sensor for structural health monitoring in gas pipelines |
| title | Development of fiber optic acoustic emission (AE) sensor for structural health monitoring in gas pipelines |
| title_full | Development of fiber optic acoustic emission (AE) sensor for structural health monitoring in gas pipelines |
| title_fullStr | Development of fiber optic acoustic emission (AE) sensor for structural health monitoring in gas pipelines |
| title_full_unstemmed | Development of fiber optic acoustic emission (AE) sensor for structural health monitoring in gas pipelines |
| title_short | Development of fiber optic acoustic emission (AE) sensor for structural health monitoring in gas pipelines |
| title_sort | development of fiber optic acoustic emission ae sensor for structural health monitoring in gas pipelines |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics |
| url | http://hdl.handle.net/10356/72126 |
| work_keys_str_mv | AT bayyongwen developmentoffiberopticacousticemissionaesensorforstructuralhealthmonitoringingaspipelines |