Journal article
Reliability-Based Service Life Prediction of Corrosion-Affected Metal Pipes with Mixed Mode Fracture
Journal of engineering mechanics, Vol.144(2)
02/2018
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Source: InCites
Abstract
This paper presents a time-dependent reliability method for the assessment of corrosion-affected metal pipe failures. Two nonlinear limit state functions are proposed for brittle and ductile pipes with mixed mode fracture. For brittle materials, a general failure criterion taking into account all three fracture modes is adopted, whereas for ductile materials, the criterion of stress intensity factor is used, based on a newly developed model of elastic fracture toughness. Stochastic models of corresponding load effects are developed and an upcrossing method is used to quantify the probability of failure and predict the remaining service life. A case study is presented to illustrate the proposed method, followed by a sensitivity analysis to investigate the effects of key variables on the probability of pipe failure. The use of Mode I fracture toughness rather than mixed-mode fracture toughness of the pipe is found to underestimate the probability of its failure. The corrosion and internal pressure have the most influence on the probability of failure for both brittle and ductile pipes, whereas pipe internal radius has the least effect. The method presented in this paper can assist pipe engineers and asset managers in developing a risk-informed and cost-effective strategy for better management of corrosion-affected metal pipelines.
Details
- Title
- Reliability-Based Service Life Prediction of Corrosion-Affected Metal Pipes with Mixed Mode Fracture
- Creators
- Wei Yang - Wuhan University of TechnologyGuoyang Fu - RMIT UniversityChun-Qing Li - RMIT University
- Publication Details
- Journal of engineering mechanics, Vol.144(2)
- Publisher
- Asce-Amer Soc Civil Engineers
- Number of pages
- 9
- Grant note
- DP140101547; LP150100413; DP170102211 / Australian Research Council
- Identifiers
- 991013126109402368
- Copyright
- (C) 2017 American Society of Civil Engineers.
- Academic Unit
- Faculty of Science and Engineering
- Language
- English
- Resource Type
- Journal article