Reliability‐Based Optimization Model for Water Distribution Systems

Su, Yu; Mays, Larry W.; Duan, Ning; Lansey, Kevin

doi:10.1061/(asce)0733-9429(1987)113:12(1539)

Cited by 261 publications

(127 citation statements)

References 10 publications

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“…It was assumed the pipes can be closed individually; in practice the actual locations of isolation valves would be considered. Only failures involving one pipe at a time were considered due to the low probability of multiple-pipe failures (Su et al 1987;Tanyimboh and Templeman 1998;Gargano and Pianese 2000). We investigated several pipe failure models including: (a) Su et al 1987; Fujiwara and Tung 1991;(c) Cullinane et al 1992; (d) Khomsi et al 1996; and (e) Tabesh et al 2009.…”

Section: Hydraulic Reliability Measuresmentioning

confidence: 99%

“…2; thus more terms of higher order could be included in theory. In practice the computational demands often outweigh any benefits (Su et al 1987;Tanyimboh 1993, page 221). An extended discussion with additional examples and illustrations is available in Naser (2013, 2015).…”

Section: Failure Tolerancementioning

confidence: 99%

“…Instead, it seems that pipe failures were taken as equally likely. However, it is generally accepted that large pipes fail less frequently than small pipes (Su et al 1987;Cullinane et al 1992;Khomsi et al 1996). Also some studies (e.g.…”

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confidence: 99%

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Comparison of Surrogate Measures for the Reliability and Redundancy of Water Distribution Systems

Tanyimboh

Siew

Saleh

et al. 2016

Water Resour Manage

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An investigation into the effectiveness of surrogate measures for the hydraulic reliability and/or redundancy of water distribution systems is presented. The measures considered are statistical flow entropy, resilience index, network resilience and surplus power factor. Looped network designs that are maximally noncommittal to the surrogate reliability measures were considered. In other words, the networks were designed by multi-objective evolutionary optimization free of any influence from the surrogate measures. The designs were then assessed using each surrogate measure and two accurate but computationally intensive measures namely hydraulic reliability and pipe-failure tolerance. The results indicate that by utilising statistical flow entropy, the reliability of the network can be reasonably approximated, with substantial savings in computational effort. The results for the other surrogate measures were often inconsistent. Two networks in the literature were considered. One example involved a range of alternative network topologies. In the other example, based on wholelife cost accounting, alternative design and upgrading schemes for a 20-year design horizon were considered. Pressure-dependent hydraulic modelling was used to simulate pipe failures for the reliability calculations.

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Section: Hydraulic Reliability Measuresmentioning

confidence: 99%

Section: Failure Tolerancementioning

confidence: 99%

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Comparison of Surrogate Measures for the Reliability and Redundancy of Water Distribution Systems

Tanyimboh

Siew

Saleh

et al. 2016

Water Resour Manage

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“…실제 기존에 수행된 상수관망시스템 의 신뢰도와 관련된 연구들의 내용을 비교/정리한 Mays (1996), Goulter et al (2000), Ostfeld(2004) (Goulter and Coals, 1986;Cullinane, 1986;Su et al, 1987;Mays, 2003). 하지만 이와 관련된 기존의 연구들은 크게 "Demand-Driven Analysis(DDA)의 사용"과 "사용성 의 미고려"라는 두 가지 측면에 있어서 문제가 있다.…”

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“…기존의 연구에서 상수관망시스템의 설계, 펌프운용, 밸브설치, 저수지 및 탱크 수위계산 등의 '수리학적 평가'를 위해 사용된 기법 은 대부분 DDA였지만 화재발생으로 인한 용수수요 급증, 관거 파손 등과 같이 상수관망시스템이 비정상상태인 경 우 DDA는 수요절점에서 부압이 계산되는 것과 같은 비 현실적인 결과를 제공할 수 있다 (Gupta and Bhave, 1996;Tanyimboh and Tabesh, 1997;Mays, 2003 (Goulter and Coal, 1986;Su et al, 1987;Wagner et al, 1988;Fujiwara and Ganesharajah, 1993;Tanyimboh et al, 2000;Tabesh et al, 2001;Tabesh et al, 2004;Ozger, 2003;Mays, 2003;Ang andJowitt, 2006, 백천우 등, 2010) Brans and Vincke, 1985), DEA(Data Envelopment Analysis; Charnes et al, 1978 또한 HOR 획득과 관련된 문제를 해결하기 위해 실질 적인 HOR을 정의하기 위한 많은 연구가 수행되었으며 (Bhave, 1981;Goulter and Coal, 1986;Su et al, 1987;Germanopoulos, 1985;Elango, 1989, 1991;Wagner et al, 1988;Chandapillai, 1991;Fujiwara and Ganesharajah, 1993), 계산시간을 단축하기 위해 최적화 기법을 사용한 모형 (Baek et al, 2010)과 modified Global Gradient Algorithm을 이용하여 모의시간을 획기적으로 단축시킨 모형 (1) Partial-flow: …”

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Estimating the Reliability of Water Distribution Systems Using HSPDA Model and Distance Measure Method

Baek¹,

Jun²,

Kim³

2010

Journal of Korea Water Resources Association

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Topological and hydraulic assessments to examine whether required demand and pressure are satisfied and using these assessed results as a criteria have been general methodology for reliability assessment of water distribution systems. However, many of existing studies that used nodal pressure calculated by hydraulic assessment for reliability assessment have two major issues to be solved. The one is that demand-driven analysis was used for hydraulic assessment and the other is that serviceability was not considered for reliability assessment. In addition, all of the studies used pressure-demand analysis which is suitable to hydraulic analysis for water distribution systems under abnormal operating condition considered only available nodal demand for reliability assessment. This means that advantages which can be obtained by pressure-driven analysis are not used properly and efficiently. In this study, new methodology for reliability assessment of water distribution systems using HSPDA model and distance measure method is suggested. This methodology considers both nodal pressure and nodal available demand for reliability assessment. Suggested methodology is applied to two water distribution systems to show its applicability and application results are compared with existing study.

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A diameter‐sensitive flow entropy method for reliability consideration in water distribution system design

Liu

Savić

Kapelan

et al. 2014

Water Resources Research

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Flow entropy is a measure of uniformity of pipe flows in water distribution systems. By maximizing flow entropy one can identify reliable layouts or connectivity in networks. In order to overcome the disadvantage of the common definition of flow entropy that does not consider the impact of pipe diameter on reliability, an extended definition of flow entropy, termed as diameter-sensitive flow entropy, is proposed. This new methodology is then assessed by using other reliability methods, including Monte Carlo Simulation, a pipe failure probability model, and a surrogate measure (resilience index) integrated with water demand and pipe failure uncertainty. The reliability assessment is based on a sample of WDS designs derived from an optimization process for each of the two benchmark networks. Correlation analysis is used to evaluate quantitatively the relationship between entropy and reliability. To ensure reliability, a comparative analysis between the flow entropy and the new method is conducted. The results demonstrate that the diameter-sensitive flow entropy shows consistently much stronger correlation with the three reliability measures than simple flow entropy. Therefore, the new flow entropy method can be taken as a better surrogate measure for reliability and could be potentially integrated into the optimal design problem of WDSs. Sensitivity analysis results show that the velocity parameters used in the new flow entropy has no significant impact on the relationship between diameter-sensitive flow entropy and reliability.

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Reliability‐Based Optimization Model for Water Distribution Systems

Cited by 261 publications

References 10 publications

Comparison of Surrogate Measures for the Reliability and Redundancy of Water Distribution Systems

Comparison of Surrogate Measures for the Reliability and Redundancy of Water Distribution Systems

Estimating the Reliability of Water Distribution Systems Using HSPDA Model and Distance Measure Method

A diameter‐sensitive flow entropy method for reliability consideration in water distribution system design

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