Conference proceeding
Service life prediction of underground cast iron pipes subjected to pitting corrosion
Safety, Reliability, Risk, Resilience and Sustainability of Structures and Infrastructure, pp.396-405
International Conference on Structural Safety and Reliability (IASSAR), 12 (Vienna, Austria, 06/08/2017–10/08/2017)
2017
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Abstract
Corrosion has been known as the main reason causing material and structural deterioration. Although the corrosion in soil essentially follows the electrochemical theory and appears simple, the analysis in realistic case is often complicated by the various chemical agents, aeration and the complexity associated with the heterogeneity of soils. This paper aims to develop a reliability assessment method for cast iron pipe fracture failure with consideration of randomness nature of corrosion evolution and the effect of soil aeration. A probabilistic maximum pit depth model has been developed based on a high number of corrosion measurements on excavated pipe sections. The concept of fracture theory has been employed to establish a limit state function for reliability analysis. A real pipeline reliability assessment has been used as a case study to illustrate the application of the proposed model. The outcome of the current study provides a useful tool for engineers and asset managers to make maintenance strategies for corroded cast iron pipelines.
Details
- Title
- Service life prediction of underground cast iron pipes subjected to pitting corrosion
- Creators
- Weigang Wang (Corresponding Author) - RMIT UniversityDilan Robert (Author) - RMIT UniversityGuoyang Fu (Author) - RMIT UniversityAnnan Zhou (Author) - RMIT UniversityChun-Qing Li (Author) - RMIT University
- Publication Details
- Safety, Reliability, Risk, Resilience and Sustainability of Structures and Infrastructure, pp.396-405
- Conference
- International Conference on Structural Safety and Reliability (IASSAR), 12 (Vienna, Austria, 06/08/2017–10/08/2017)
- Publisher
- TU-Verlag; Vienna, Austria
- Grant note
- Australian Research Council DP140101547, LP150100413 and DP170102211.
- Identifiers
- 991013297354502368
- Copyright
- © 2017 TU-Verlag Vienna
- Academic Unit
- Faculty of Science and Engineering; Engineering
- Language
- English
- Resource Type
- Conference proceeding