Probabilistic failure investigation of small diameter cast iron pipelines for water distribution

被引:30
作者
Ji, Jian [1 ,2 ]
Lai, Jia Hong [2 ]
Fu, Guoyang [2 ]
Zhang, Chunshun [2 ]
Kodikara, Jayantha [2 ]
机构
[1] Hohai Univ, Key Lab, Minist Educ Geomech & Embankment Engn, Nanjing, Jiangsu, Peoples R China
[2] Monash Univ, Dept Civil Engn, Clayton, Vic, Australia
基金
中国国家自然科学基金;
关键词
Cast-iron pipes; Corrosion; Failure prediction; Probabilistic inverse analysis (PPM); Probabilistic physical modelling; PRESSURE; PIPES;
D O I
10.1016/j.engfailanal.2019.104239
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
At present, a significant proportion of Australia's ageing water infrastructure is composed of castiron pipes. The corrosion of cast-iron pipes is the main triggering factor for Australia's water industry. It has been found that the failure mode of small diameter water mains (< 300 mm external diameters) from Yarra Valley Water is mainly the longitudinal failure (hoop-stressed) instead of broken back failure, which is unexpected. Therefore, the purpose of this paper is to examine the failure mechanism of longitudinal failure of small diameter cast-iron pipes. The observational failure database provided by Yarra Valley Water show limited data availability. This has stimulated the focus of this paper: to examine the corrosion mechanism by utilising probabilistic inverse analysis for unknown physical parameters. Focusing on the likelihood of failure, this paper investigates the performance of small diameter cast-iron pipes by using statistical analysis based on the observational failure lifetime data within pipe cohorts. Background studies on the deterioration of cast-iron pipes due to corrosion are made to help set up the probabilistic physical modelling (PPM). Using the updated corrosion parameters, the lifetime probabilities of failure and the hazard rate of the cast iron model are derived from PPM. Last, it is found that the modelling results agree reasonably well with prediction curves of statistical data, indicating that the proposed method for pipe lifetime prediction is promising.
引用
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页数:14
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