Risk Assessment and Development of Maintenance Strategy for Pipe Rehabilitation Using WDNetXL

9 pages•Published: September 20, 2018

Gema Sakti Raspati, Ingrid Selseth, Luigi Berardi, Orazio Giustolisi and Rita Ugarelli

Abstract

This paper shows potential application of mechanical reliability analysis in WDNetXL in a risk-based asset management applied to a distribution network in Norway. Evaluation of hydraulic importance of the network's pipe segments, based on quantification of pressure deficiency and unsupplied customer demand during simulated service interruptions, allows risk assessment on individual pipe level with the inclusion of statistical information about break rate of the pipe. From risk assessment of individual pipe, a priority ranking for pipe rehabilitation can then be developed. Such an approach should benefit the rehabilitation planning by highlighting criticality of a specific pipe and its impact on the service of the network. This approach can also be extended to evaluate the risk reduction reached once the rehabilitation plan is executed.

Keyphrases: asset management, mechanical reliability, pipe rehabilitation, risk assessment

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 1735-1743.

Links:	https://easychair.org/publications/paper/1vwX
	https://doi.org/10.29007/lvt5

BibTeX entry

@inproceedings{HIC2018:Risk_Assessment_Development_Maintenance,
  author    = {Gema Sakti Raspati and Ingrid Selseth and Luigi Berardi and Orazio Giustolisi and Rita Ugarelli},
  title     = {Risk Assessment and Development of Maintenance Strategy for Pipe Rehabilitation Using WDNetXL},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/1vwX},
  doi       = {10.29007/lvt5},
  pages     = {1735-1743},
  year      = {2018}}

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