M77 Condition Assessment of Water Mains, First Edition

2019 ◽  
Author(s):  
Dan Ellison ◽  
2018 ◽  
Vol 45 (1) ◽  
pp. 61-70 ◽  
Author(s):  
Farzana Atique ◽  
Nii Attoh-Okine

Water main systems are aging and becoming a growing concern for maintenance. The structural deterioration of water mains is affected by different factors, such as pipe age, pipe material, soil condition, and pipe size, among others. Various methods of modeling have been used to predict the failure of water mains. Since pipe networks are underground and obtaining data on pipe conditions is very costly, statistical modeling has been widely used for pipe condition assessment. An emerging statistical method known as copula modeling is used here for pipe data analysis. The copula method is very useful in cases where marginals belong to different families of distributions. It is also useful for generating a large number of data points when it is difficult to obtain a data set, as is the case for pipe condition assessment, and where data sets have random variables belonging to non-Gaussian family distributions. Different copula families are applied here to model the dependency between the pipe age and repair age of pipes. The paper uses a Bayesian framework to estimate the parameter values in the copula model. This approach offers an additional option for estimating copula parameters for pipe data.


Water ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1169
Author(s):  
Mario Urrea-Mallebrera ◽  
Luis Altarejos-García ◽  
Juan García-Bermejo ◽  
Bartolomé Collado-López

The paper deals with the condition assessment of water management infrastructures such as storage facilities, water mains and water distribution facilities. The objective is to develop a methodology able to provide a fast, simple assessment of present asset condition, that can also be used for predicting future conditions under different investment scenarios. The authors investigate the use of different methodologies to assess condition with focus on simple, indirect condition indices based on maintenance records, such as Infrastructure Value Index (IVI) and Asset Sustainability Index (ASI). The novelty of the approach presented is the development of a methodology that combines an asset inventory together with maintenance data, that can be integrated hierarchically, delivering an assessment of condition of elements, assets and groups of assets in a bottom-up fashion. The methodology has been applied to a group of water management infrastructures of the Segura River Basin in Spain. The main conclusion is that the proposed methodology allows to assess assets’ sustainability based upon past and current trends in operation and maintenance budgets, providing a baseline for planning future maintenance actions.


Author(s):  
H. M. S. BELMONTE ◽  
M. MULHERON ◽  
P. A. SMITH ◽  
A. HAM ◽  
K. WESCOMBE ◽  
...  

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