Reliability Analysis of Water Distribution Systems Using Physical Probabilistic Pipe Failure Method

Mazumder, Ram K.; Salman, Abdullahi M.; Li, Yue; Yu, Xiong

doi:10.1061/(asce)wr.1943-5452.0001034

Cited by 38 publications

(9 citation statements)

References 35 publications

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“…The reliability of a WDN is defined as the ability to provide an adequate level of service to customers under both normal and abnormal working scenarios within a prescribed time interval (Xu & Goulter 1999). Such a definition has been driving the scientific community in the last three decades (e.g., Ostfeld 2012;Torii & Lopez 2012;Shafiqul Islam et al 2014;Mazumder et al 2018). WDN reliability was originally classified into mechanical reliability and hydraulic reliability (Farmani et al 2005).…”

Section: Introductionmentioning

confidence: 99%

Reliability analysis of complex water distribution systems: the role of the network connectivity and tanks

Berardi

Laucelli

Ciliberti

et al. 2021

Journal of Hydroinformatics

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A reliable water distribution network (WDN) can provide an adequate supply service to customers under both normal and abnormal working conditions. The WDN reliability analysis, therefore, is a keystone to improve the supply service efficiency. Strategies for reliability analysis are usually proved on small WDNs, which do not compare with large real complex systems in terms of number of water tanks, pressure reduction valves, variable speed pumps, controlled devices and possible alternative water supply schemes. The topological changes due to pipeline interruptions impact on emptying–filling of water tanks and network pressure status. This work proposes a two-level procedure for mechanical reliability assessment, suited for large real WDNs. It leverages a path/connectivity-based approach to set up reliability indicators for global-level analysis and local screening of the most critical scenarios. The employed advanced hydraulic model includes the automatic detection of topological changes and the robust modelling of water level in tanks using the generalized global gradient algorithm. The extended period simulation enables the reliability assessment of alternative water supply schemes and the sensitivity of tanks and controlled devices to single failure events. The procedure is demonstrated on a real complex network, being consistent with the ongoing digital transition in the WDN management sector.

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Section: Introductionmentioning

confidence: 99%

Reliability analysis of complex water distribution systems: the role of the network connectivity and tanks

Berardi

Laucelli

Ciliberti

et al. 2021

Journal of Hydroinformatics

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“…Then the reliability of gas pipelines is estimated based on historical failure data and the theory of structural reliability. Unlike the statistical method based on historical data, a time-dependent physics-based probabilistic approach was employed to determine the failure probability of pipelines [ 178 ]. The impact of corrosion, external loads, burst failure, etc., is considered as well.…”

Section: Data Managementmentioning

confidence: 99%

Pipeline In-Line Inspection Method, Instrumentation and Data Management

Qiu

Tian

Zeng

et al. 2021

Sensors

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Pipelines play an important role in the national/international transportation of natural gas, petroleum products, and other energy resources. Pipelines are set up in different environments and consequently suffer various damage challenges, such as environmental electrochemical reaction, welding defects, and external force damage, etc. Defects like metal loss, pitting, and cracks destroy the pipeline’s integrity and cause serious safety issues. This should be prevented before it occurs to ensure the safe operation of the pipeline. In recent years, different non-destructive testing (NDT) methods have been developed for in-line pipeline inspection. These are magnetic flux leakage (MFL) testing, ultrasonic testing (UT), electromagnetic acoustic technology (EMAT), eddy current testing (EC). Single modality or different kinds of integrated NDT system named Pipeline Inspection Gauge (PIG) or un-piggable robotic inspection systems have been developed. Moreover, data management in conjunction with historic data for condition-based pipeline maintenance becomes important as well. In this study, various inspection methods in association with non-destructive testing are investigated. The state of the art of PIGs, un-piggable robots, as well as instrumental applications, are systematically compared. Furthermore, data models and management are utilized for defect quantification, classification, failure prediction and maintenance. Finally, the challenges, problems, and development trends of pipeline inspection as well as data management are derived and discussed.

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“…The WDN is frequently vulnerable to mechanical, hydraulic, and water quality failure (Gheisi et al 2016;Młynśki et al 2021); so, it is essential to incorporate all failures to evaluate the performance through the reliability index. Research works have been conducted to develop methods for reliability assessment for different failure types, individually, i.e., mechanical-related (Mazumder et al 2019), hydraulic-related (Giustolisi 2020), and water quality-related (Gupta et al 2012) failures. Resilience is described as the ability of a WDN to recover its functionality after a disruptive or failure event (Mazumder et al 2018;Albarakati et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Fuzzy logic-based integrated performance evaluation of a water distribution network

Beker

Kansal

2022

Journal of Water Supply: Research and Technology-Aqua

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A water distribution network (WDN) is an essential component of an urban water supply scheme to deliver safe and adequate water to consumers under various operational conditions. This study focuses on the performance evaluation of an urban WDN using fuzzy logic-based aggregation of reliability, resilience, and vulnerability indices. To assess the individual performance indicators, this study advocates the pressure-dependent analysis (PDA) for the hydraulic simulation. Furthermore, it advocates a fuzzy rule-based aggregated performance index (API) that will deliver the outcome in linguistic form and help the decision-maker to prioritize the maintenance of the WDN. The proposed method is illustrated with the help of a real-time WDN for part of Dire Dawa city in Ethiopia. It has been found that the API values for this network are 0.721 and 0.624, respectively, under normal and abnormal conditions, which are just satisfactory. It has been noticed that nodes J4, J44, J47, and J49 are critical from the overall low API. Efforts should be made to improve the hydraulic and residual chlorine conditions at these nodes to increase the API. It is felt that such a methodology will help the decision-makers in improving the performance of an existing urban WDN.

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Reliability Analysis of Water Distribution Systems Using Physical Probabilistic Pipe Failure Method

Cited by 38 publications

References 35 publications

Reliability analysis of complex water distribution systems: the role of the network connectivity and tanks

Reliability analysis of complex water distribution systems: the role of the network connectivity and tanks

Pipeline In-Line Inspection Method, Instrumentation and Data Management

Fuzzy logic-based integrated performance evaluation of a water distribution network

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