Is the service life of water distribution pipelines linked to their failure rate?

2013 ◽  
Vol 13 (2) ◽  
pp. 386-393 ◽  
Author(s):  
Yves Le Gat ◽  
Ingo Kropp ◽  
Matthew Poulton

This paper aims to enable the relevant use of water main service lifetime and failure data to build a medium or long term infrastructure management plan. Firstly, how to estimate the service lifetime distribution of water mains using observations of decommissioning times which are possibly left-truncated and predominantly right-censored, is shown. Three methods are presented: a non-parametric method another based on the parametric Weibull distribution, and a third based on the parametric Herz distribution. An application with actual data related to grey cast iron water mains of two large French and German water distribution networks illustrates the implementation of the theoretical methods. The paper then investigates the link between failure rate and pipe renewal, and discusses the use of observation-based service time survival functions for infrastructure asset management.

2018 ◽  
Vol 19 (3) ◽  
pp. 899-907 ◽  
Author(s):  
Wilmer P. Cantos ◽  
Ilan Juran

Abstract Metropolitan governments and water operators are continuously facing the ever-growing challenges of evaluating the risks and optimizing investment in the rehabilitation of the buried aging infrastructure of water distribution systems (WDS). Proper asset management and efficient rehabilitation planning require monitoring, condition assessment, degradation risk analysis and a data-based model for degradation forecasting to support investment decision-making and significantly reduce the infrastructure rehabilitation cost. This paper presents a statistical and stochastic spatial data analysis of failure records of the WDS of the City of Wattrelos, France. The research objective is to develop and demo-illustrate the application of an operator's experience-based Risk Assessment Method (RAM) for network micro-zone prioritization of rehabilitation/replacement works to optimize preemptive asset management. The data used is a 74-year historical dataset from Wattrelos, France. The database includes approximately 424 observed failures for the period of 1991–2004. The data analysis demonstrates that understanding and using stochastic modeling to characterize the pattern of relationship between Failure Rate (FR), Age (T) and the Probability (or Risk) of exceeding a specific Failure Rate (Pr(FR)) of a micro-zone can effectively support the operator's assessment, risk management and prioritization in the maintenance and rehabilitation of the WDS.


2011 ◽  
Author(s):  
J. Leighton ◽  
D. Evonuk ◽  
T. Liberator

2021 ◽  
Vol 3 ◽  
Author(s):  
Amin Ganjidoost ◽  
Mark A. Knight ◽  
Andre J. A. Unger ◽  
Carl T. Haas

This study develops an implementation framework for asset management strategic planning of water distribution networks to meet sustainable infrastructure, socio-political, and financial targets over the life cycle of the infrastructure. The proposed framework is comprised of three decision-making layers: (1) Visions and Values, (2) Function, and (3) Performance. The asset management strategy framework is implemented and validated by demonstrating functionality and value by using data from three water utilities in Canada. The Visions and Values layer is set to meet the needs of the water utilities' stakeholders. The Function layer uses an advanced system dynamics model to simulate and forecast the system's future behavior. The Performance layer benchmarks, compares, and graphically illustrates the situation and performance of water utilities against each other regardless of their size. Benchmarking results indicate that all three water utilities can sustainably meet the strategic targets established in the Visions and Values layer of the asset management strategy over the benchmarking period. The impact of the desired cash reserve on infrastructure and financial benchmarking performance indicators is also investigated to explore the “optimal” combination of allowable fee-hike and rehabilitation rates using the contour plots developed over the benchmarking period. The results indicate that the optimal combinations of allowable fee-hike of ~8% per year and rehabilitation rate of 1.3% per year along with a 1–4% cash reserve, depends on the network condition, will allow water utilities to have sufficient funds to meet their strategic targets. The performance modeling and simulation approach presented in this study represents a powerful tool for other utilities to develop optimal strategic and operational plans for their networks and thus better service to their stakeholders.


2021 ◽  
Author(s):  
Francesco Gino Ciliberti ◽  
Luigi Berardi ◽  
Daniele Biagio Laucelli ◽  
Orazio Giustolisi

2011 ◽  
Vol 14 (3) ◽  
pp. 659-681 ◽  
Author(s):  
Yehuda Kleiner ◽  
Balvant Rajani

The use of statistical methods to discern patterns of historical breakage rates and use them to predict water main breaks has been widely documented. Particularly challenging is the prediction of breaks in individual pipes, due to the natural variations that exist in all the factors that affect their deterioration and subsequent failure. This paper describes alternative models developed into operational tools that can assist network owners and planners to identify individual mains for renewal in their water distribution networks. Four models were developed and compared: a heuristic model, a naïve Bayesian classification model, a model based on logistic regression and finally a probabilistic model based on the non-homogeneous Poisson process (NHPP). These models rank individual water mains in terms of their anticipated breakage frequency, while considering both static (e.g. pipe material, diameter, vintage, surrounding soil, etc.) and dynamic (e.g. climate, operations, cathodic protection, etc.) effects influencing pipe deterioration rates.


2015 ◽  
Vol 1 (2) ◽  
pp. 129-134
Author(s):  
Ladislav Tuhovčák ◽  
Miloslav Tauš ◽  
Tomáš Sucháček

The knowledge of the current technical condition of the operated system is in the interest of the owner or operator of public water supply systems. Such information is the starting point when making decisions on investment projects or planning water mains renewal. The submitted paper introduces the methodology of preliminary assessment of the technical condition of water supply systems and outputs of the software application TEA Water, which makes it possible to assess the technical condition of the specific elements of the water supply systems and clear displaying with the presentation of the assessment results for the entire considered water supply system.


2008 ◽  
Vol 8 (2) ◽  
pp. 231-237 ◽  
Author(s):  
S. Christodoulou ◽  
C. Charalambous ◽  
A. Adamou

In light of the increasing and pressing need to efficiently manage scarce water resources, there has been renewed interest by water distribution network owners to develop and implement water management strategies and tools that would assist in the integrated and automated management of those networks. Such asset management strategies should assist the network owners to evaluate the condition of the water distribution network, assess historical incident data (leakage or breakage) and risk of failure, visualise areas of high risk, propose “repair or replace” strategies and prioritise the work based on the inherent risk and cost of action. The methodology and support system outlined in this paper can form an integral part of a leakage management strategy and provide a useful decision-making tool. The work presented outlines an integrated methodology and a decision support system for arriving at such “repair-or-replace” decisions, as part of a long-term pipeline asset management program that could be undertaken by a water utility to improve on the reliability of the water distribution networks.


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