Latest revision as of 07:32, 2 February 2021

Abstract

The statistical analysis of historical breakage patterns of water mains is a cost effective approach to discern their deterioration, where physical mechanisms that lead to their deterioration are often very complex and not well understood. Furthermore, data required to model these physical mechanisms are rarely available and prohibitively costly to acquire. Several models exist in the literature, which use various statistical methods to analyse patterns of pipe breakage histories. Some of these models were designed to address relatively large groups of pipes, which are presumed to be homogeneous with respect to their deterioration patterns, while others address individual water mains. However, predicting a breakage pattern in an individual pipe has proven to be quite a challenge and the validation of these models is generally done on the basis of aggregate breakage rate although the model purports to predict individual pipe behaviour. The structural deterioration of water mains and their subsequent failure are affected by many factors, both static (e.g., pipe material, pipe size, age (vintage), soil type) and dynamic (e.g., climate, cathodic protection, pressure zone changes). Dynamic factors can currently be considered only in a model that was designed to deal with pipe groups. While group deterioration analysis is important for high-level renewal planning, operational considerations require the prioritisation of individual pipe for renewal within such groups. Consequently, the National Research Council of Canada (NRC), with support from the American Water Works Association Research Foundation (AwwaRF) is investigating how to prioritise individual pipes within a so-called ‘homogeneous’ group of water mains. Several approaches have been explored in this research initiative with various degrees of success. In this paper we describe the development of a nonhomogeneous Poisson model, which considers dynamic factors that can affect water main failure and some preliminary results are reported.

Original document

The different versions of the original document can be found in:

• https://nrc-publications.canada.ca/eng/view/accepted/?id=510fc830-b43b-40d8-95d6-14b94ab8677e

• http://ascelibrary.org/doi/pdf/10.1061/40976%28316%29498,

http://dx.doi.org/10.1061/40976(316)498

• https://core.ac.uk/display/38578643,

https://ascelibrary.org/doi/abs/10.1061/40976%28316%29498,

https://academic.microsoft.com/#/detail/2123106436