Experimental study on subsea pipeline bedding condition assessment using wavelet packet transform

Free span along subsea pipelines is a general problem both in pipeline design phase and during operation of pipelines. Traditionally, subsea pipeline system is inspected over the entire pipeline length with inspection tools, such as side-scan sonar and video/camera carried by remote controlled vehic...

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Main Authors: Peng, X., Hao, Hong, Li, Z., Fan, K.
Format: Journal Article
Published: Pergamon 2013
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/47305
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author Peng, X.
Hao, Hong
Li, Z.
Fan, K.
author_facet Peng, X.
Hao, Hong
Li, Z.
Fan, K.
author_sort Peng, X.
building Curtin Institutional Repository
collection Online Access
description Free span along subsea pipelines is a general problem both in pipeline design phase and during operation of pipelines. Traditionally, subsea pipeline system is inspected over the entire pipeline length with inspection tools, such as side-scan sonar and video/camera carried by remote controlled vehicle. The obvious disadvantage is that this kind of inspection can only be carried out at scheduled intervals. In a previous study [1], a damage indicator, WPECR, was proposed based on wavelet packet transform analysis to identify free-spanning damage along subsea pipelines. The reliability and efficiency of the proposed damage indicator is proven with numerical simulated vibration data of pipeline under ambient sea wave forces. To further verify the proposed method, in this paper, two scaled pipe models with different boundary conditions were designed and tested subject to random wave forces in a large wave tank. Waterproof accelerometers were used to collect pipeline responses which were subsequently analyzed for pipeline condition monitoring. The results show that using output-only dynamic responses of pipeline subject to random ambient wave excitations can accurately identify free span locations and length. With a vibration based method, real time monitoring of scouring damage to subsea pipelines is achievable so that any free span longer than allowable span length can be detected at an early stage.
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format Journal Article
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institution Curtin University Malaysia
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last_indexed 2025-11-14T09:33:48Z
publishDate 2013
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spelling curtin-20.500.11937-473052017-09-13T14:09:28Z Experimental study on subsea pipeline bedding condition assessment using wavelet packet transform Peng, X. Hao, Hong Li, Z. Fan, K. Free span Wavelet packet transform Offshore pipeline Damage identification Free span along subsea pipelines is a general problem both in pipeline design phase and during operation of pipelines. Traditionally, subsea pipeline system is inspected over the entire pipeline length with inspection tools, such as side-scan sonar and video/camera carried by remote controlled vehicle. The obvious disadvantage is that this kind of inspection can only be carried out at scheduled intervals. In a previous study [1], a damage indicator, WPECR, was proposed based on wavelet packet transform analysis to identify free-spanning damage along subsea pipelines. The reliability and efficiency of the proposed damage indicator is proven with numerical simulated vibration data of pipeline under ambient sea wave forces. To further verify the proposed method, in this paper, two scaled pipe models with different boundary conditions were designed and tested subject to random wave forces in a large wave tank. Waterproof accelerometers were used to collect pipeline responses which were subsequently analyzed for pipeline condition monitoring. The results show that using output-only dynamic responses of pipeline subject to random ambient wave excitations can accurately identify free span locations and length. With a vibration based method, real time monitoring of scouring damage to subsea pipelines is achievable so that any free span longer than allowable span length can be detected at an early stage. 2013 Journal Article http://hdl.handle.net/20.500.11937/47305 10.1016/j.engstruct.2012.09.001 Pergamon restricted
spellingShingle Free span
Wavelet packet transform
Offshore pipeline
Damage identification
Peng, X.
Hao, Hong
Li, Z.
Fan, K.
Experimental study on subsea pipeline bedding condition assessment using wavelet packet transform
title Experimental study on subsea pipeline bedding condition assessment using wavelet packet transform
title_full Experimental study on subsea pipeline bedding condition assessment using wavelet packet transform
title_fullStr Experimental study on subsea pipeline bedding condition assessment using wavelet packet transform
title_full_unstemmed Experimental study on subsea pipeline bedding condition assessment using wavelet packet transform
title_short Experimental study on subsea pipeline bedding condition assessment using wavelet packet transform
title_sort experimental study on subsea pipeline bedding condition assessment using wavelet packet transform
topic Free span
Wavelet packet transform
Offshore pipeline
Damage identification
url http://hdl.handle.net/20.500.11937/47305