Advanced Condition Assessment and Pipe Failure Prediction ProjectAdvanced Condition Assessment and Pipe Failure Prediction Project
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Prediction of stress concentration factor of corrosion pits on buried pipes by least squares support vector machine

by J. Ji, C. Zhang, J. Kodikara and S-Q. Yang

Journal:

Engineering Failure Analysis

Volume:

55

Page(s):

131 – 138

Year:

2015

Key words:

Buried pipe; Corrosion pit; SCF; LS-SVM; 3-D FEA

Abstract:

Concentrated working stress of a corrosion pit is known to be an important factor inducing the deterioration and consequently the breakage of a buried pipe. In this paper, we investigate the stress concentration factors (SCFs) of isolated elliptical corrosion pits using 3-D finite element analyses. The elliptical pits are fully characterized by their 3-D geometries, i.e., major and minor diameters and pit depth via a series of parametric studies of finite element pipe models. This is to quantify the effect of geometric variations of the pits on SCF. Realizing the fact that the 3-D finite element analysis is computationally intensive, efficient statistically predictive models have been developed based on least squares support vector machine (LS-SVM) realized in a ubiquitous spreadsheet platform. This approach shows very close predictions of SCF to the numerical findings for elliptical corrosion patterns on buried pipes. Particularly, two typical kernel functions have been adopted to cross validate the excellent performance of the LS-SVM method in SCF prediction of corroded pipes.

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Information about Pipes

In August 2011 international water research organisations, Australian water utilities and three Australian universities came together through a collaborative research agreement, and committed overall funding of $16 million (including $4 million cash) over five years to undertake this research through the Advanced Condition Assessment and Pipe Failure Prediction Project.

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