Organizing and analyzing leak and break data for making main replacement decisions

O'Day, D. Kelly

doi:10.1002/j.1551-8833.1982.tb05016.x

Cited by 70 publications

(32 citation statements)

References 4 publications

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“…This inconsistency often leads to large variances in reported break rates amongst utilities. For example, O'Day (1982) reported that some systems such as New York City report only main breaks whereas as others such as Houston report both breaks and leaks.…”

Section: Distinction Between Pipe Breaks and Leaksmentioning

confidence: 99%

“…The primary distinction between breaks and leaks is that breaks represent a structural failure in the pipe, whereas leaks occur when either joints or service connections are not tight (O'Day, 1982). Pipe breaks occur when the culmination of loading events (internal pressure, earth loads, etc.)…”

Section: Distinction Between Pipe Breaks and Leaksmentioning

confidence: 99%

“…are prone to longitudinal breaks. Longitudinal breaks (splitting) are usually caused by ring failure or crushing whereas circular breaks are considered to result from beam failure (O'Day, 1982 provides a relative ranking that corresponds to a replacement priority for each pipe. Whereas the water mains analyzed through the failure prediction module pose the greatest threat to the overall system performance, and thus receive first replacement priority, information from the MCDA module is useful in utility multiyear planning activities.…”

Section: Causes Of Pipe Breaksmentioning

confidence: 99%

“…In a descriptive statistical study of the pipe breakage data from the city of Philadelphia, O'Day (1982) indicated that water mains are subject to several categories of deteriorating forces as shown in Table 2.3.…”

Section: Structural Deterioration Leading To Additional Leaks and Breaksmentioning

confidence: 99%

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Failure Assessment Model to Prioritize Pipe Replacement in Water Utility Asset Management

Rogers

Grigg

2008

Water Distribution Systems Analysis Symposium 2006

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OF DISSERTATION FAILURE ASSESSMENT MODEL TO PRIORITIZE PIPE REPLACEMENT IN WATER UTILITY ASSET MANAGEMENTThe condition of a water distribution system has strong correlations with community health and economic development. However, studies indicate an urgent need to upgrade the nation's aging and deteriorating distribution systems if they are to continue to provide customers with reliable and safe water supplies.In response, water utilities are using various performance measurement initiatives including pipeline asset management. These require assessment of each pipeline's condition to identify failure-prone pipes and prioritize their renewal. However, the below ground location of the pipes and lack of standard guidelines or tools to assist in assessment make pipeline assessment and renewal decisions difficult.In this research, a pipe failure assessment model was developed and tested to assist water utilities with their pipe renewal decisions. A conceptual model was created from a review of case studies, theories and asset The conceptual model was refined through collaboration of a focus group of water utility professionals. By drawing on the knowledge and experience of these experts, the review process added unique features that facilitate the model's use and responsiveness to the industry's needs. The model was tested using pipe inventory and break history information contributed by Laramie (Wyoming) Water and Colorado Springs Utilities. Although each water supplier differs in population served, operating conditions, pipe inventories, and pipe break histories, both utilities were able to provide their pipe inventory and break history in electronic form which facilitated the model processing.Evaluations from the participating utilities indicated that the pipe failure assessment model would enhance the industry's ability to prioritize pipe renewal decisions and improve their return on investment. Utility personnel indicated that the model's use of routine pipeline operation and maintenance records, combined with its consequence modeling features, addresses both the data limitations and risk avoidance characteristics of the industry in a way that is intuitive and understandable to utility staff. Utility personnel also commented that the model adds knowledge and transparency to the decision process, which is critical in an environment in which decisions will have to withstand scrutiny from various interest groups. Lastly, the investigation illustrates the need for better iv inventory and break data since this data plays such an important role in the industry's buried infrastructure planning programs.

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Section: Distinction Between Pipe Breaks and Leaksmentioning

confidence: 99%

Section: Distinction Between Pipe Breaks and Leaksmentioning

confidence: 99%

Section: Causes Of Pipe Breaksmentioning

confidence: 99%

Section: Structural Deterioration Leading To Additional Leaks and Breaksmentioning

confidence: 99%

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Failure Assessment Model to Prioritize Pipe Replacement in Water Utility Asset Management

Rogers

Grigg

2008

Water Distribution Systems Analysis Symposium 2006

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“…하지만 상수관망의 신뢰도를 정의할 수 있다하더라 도, 정의된 신뢰도를 정량화는 것은 쉽지 않은 문제이 다. Mays (1996) (Oday, 1982;Lei and Saegrov, 1998), ② 상수관의 파괴확률을 추정한 연구 (Andreou, 1986;Lei and Saegrov, 1998) (Su et al , 1987;Jowitt et al , 1993), ② 제수 밸브에 의해 격리되는 상수관과 절점을 관망의 segment 로 정의하여 피해영역 추정 (Walski, 1993(Walski, , 2002 (Goulter and Coals, 1986;Cullinane et al , 1989)의 네 가지로 구분할 수 있다. 상 수관망의 상태 평가를 위한 연구는 ① 상수관파괴로 인 한 시스템상태의 정량화 방안에 대한 연구 (Asgarpoor and Singh, 1992;Mays, 2003)와 ② 상수관망의 비정상 상태의 원인을 규정하는 연구 (Goulter and Coals, 1986;Xu et al , 1999)로 구분할 수 있다.…”

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Estimation of the Reliability of Water Distribution Systems using HSPDA Model and ADF Index

Baek¹,

Jun²,

Kim³

2010

Journal of Korea Water Resources Association

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In this study, new methodology to estimate the reliability of a water distribution system using HSPDA model is suggested. In general, the reliability of a water distribution system can be determined by estimating either the ratio of the required demand to the available demand or the ratio of the number of nodes with sufficient pressure head to the number of nodes with insufficient pressure head when the abnormal operating condition occurs. To perform this approach, hydraulic analysis under the abnormal operating condition is essential. However, if the Demand-Driven Analysis (DDA) which is dependant on the assumption that the required demand at a demand node is always satisfied regardless of actual nodal pressure head is used to estimate the reliability of a water distribution system, the reliability may be underestimated due to the defect of the DDA. Therefore, it is necessary to apply the Pressure-Driven Analysis (PDA) having a different assumption to the DDA's which is that available nodal demand is proportion to nodal pressure head. However, because previous study used a semi-PDA model and the PDA model which had limited applicability depending on the characteristics of a network, proper estimation of the reliability of a water distribution system was impossible. Thus, in this study, a new methodology is suggested by using HSPDA model which can overcome weak points of existing PDA model and Available Demand Fraction (ADF) index to estimate the reliability. The HSPDA can simulate the hydraulic condition of a water distribution system under abnormal operating condition and based on the hydraulic condition simulated, ADF index at each node is calculated to quantify the reliability of a water distribution system. The suggested model is applied to sample networks and the results are compared with those of existing method to demonstrate its applicability.

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Plant Siting and Layout

Zalosh

2003

Industrial Fire Protection Engineering

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Organizing and analyzing leak and break data for making main replacement decisions

Cited by 70 publications

References 4 publications

Failure Assessment Model to Prioritize Pipe Replacement in Water Utility Asset Management

Failure Assessment Model to Prioritize Pipe Replacement in Water Utility Asset Management

Estimation of the Reliability of Water Distribution Systems using HSPDA Model and ADF Index

Plant Siting and Layout

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