Condition assessment to estimate failure rates in buried metallic pipelines

Research Article| May 01 2006 Condition assessment to estimate failure rates in buried metallic pipelines D. De Silva; D. De Silva 1CSIRO Manufacturing & Infrastructure Technology, PO Box 56, Highett, Victoria, 3190,Australia Tel.: (61 3) 9252 6000, Fax: (61 3) 9252 6244; E-mail: dhammika.desilva@csiro.au Search for other works by this author on: This Site PubMed Google Scholar M. Moglia; M. Moglia 1CSIRO Manufacturing & Infrastructure Technology, PO Box 56, Highett, Victoria, 3190,Australia Search for other works by this author on: This Site PubMed Google Scholar P. Davis; P. Davis 1CSIRO Manufacturing & Infrastructure Technology, PO Box 56, Highett, Victoria, 3190,Australia Search for other works by this author on: This Site PubMed Google Scholar S. Burn S. Burn 1CSIRO Manufacturing & Infrastructure Technology, PO Box 56, Highett, Victoria, 3190,Australia Search for other works by this author on: This Site PubMed Google Scholar Journal of Water Supply: Research and Technology-Aqua (2006) 55 (3): 179–191. https://doi.org/10.2166/aqua.2006.0004 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Twitter LinkedIn Tools Icon Tools Cite Icon Cite Permissions Search Site Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentAll JournalsThis Journal Search Advanced Search Citation D. De Silva, M. Moglia, P. Davis, S. Burn; Condition assessment to estimate failure rates in buried metallic pipelines. Journal of Water Supply: Research and Technology-Aqua 1 May 2006; 55 (3): 179–191. doi: https://doi.org/10.2166/aqua.2006.0004 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Pipe condition assessment provides useful information to assist rehabilitation and replacement decisions. Due to high cost or difficult pipe access, condition assessment must be limited to specific locations. To address this limitation, this paper presents a methodology in which values from discrete sampling positions are used to quantify systematic and random variation of pipe condition, and the statistical basis of applying the information to determine the failure probability in the network.The methodology includes development of a sampling program on a network zoned according to the soil type, using extreme value statistics to describe the distribution of data from limited samples within each zone and where appropriate extrapolation of the distributions to larger areas of the network. Structural reliability methods, specifically Level II first-order-second moment reliability analysis, are then applied with distributions of pipe conditions as input in order to estimate pipe failure probability and failure rate predictions. A practical example of a mild steel pipeline subjected to external corrosion is used to illustrate the value of this technique in practice.An overview of commercially available and emerging techniques suitable for condition assessment of pipes is presented. This includes direct assessment by electromagnetic, ultrasonic and acoustic techniques and indirect assessment through measurement of soil electrical and chemical properties. condition assessment, extrapolation, limited data, probabilistic failure, reliability analysis, Weibull distribution This content is only available as a PDF.