1994
DOI: 10.1061/(asce)0733-9372(1994)120:2(447)
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Reliability Analysis of Water‐Distribution Systems

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Cited by 106 publications
(48 citation statements)
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“…A common constraint of the above approaches is that the combination of possible failure scenarios grows exponentially as the network becomes bigger (Berardi et al 2014) together with possible inconsistencies and uncertainties associated with hydraulic simulations (Gupta and Bhave 1994). Trifunović (2012) explores hydraulic properties of the network based on the statistical analysis of common parameters under normal operation and proposed them as indices to assess the resilience of a water network.…”
Section: Introductionmentioning
confidence: 99%
“…A common constraint of the above approaches is that the combination of possible failure scenarios grows exponentially as the network becomes bigger (Berardi et al 2014) together with possible inconsistencies and uncertainties associated with hydraulic simulations (Gupta and Bhave 1994). Trifunović (2012) explores hydraulic properties of the network based on the statistical analysis of common parameters under normal operation and proposed them as indices to assess the resilience of a water network.…”
Section: Introductionmentioning
confidence: 99%
“…Such indicators were then studied, improved and implemented [20][21][22][23][24]. Several authors [12,25,26] evaluated reliability by using performance indicators on the basis of the ratio between volumes actually delivered during the evaluation period and the volume required at a given node. A performance indicator relative to pressure that considers the ratio between the minimum pressure value and pressure required was also proposed [27].…”
Section: The Reliability Indicators Implemented In Wdnetxlmentioning
confidence: 99%
“…Analytical reliability considers hydraulic behavior with equations relating the various hydraulic parameters (node demand, friction coefficient, nodal pressure, etc) (Xu & Goulter 1997b). Simulation-based reliability is more concerned with estimating demand deficits arising from the network hydraulic behavior during normal and failure time (Gupta & Bhave 1994;Xu & Goulter 1997a;Tanyimboh & Templeman 2000).…”
Section: Reliabilitymentioning
confidence: 99%
“…Volume reliability has also been widely used (Gupta & Bhave 1994;Tanyimboh & Templeman 2000). It is normally defined as the expected (in a probabilistic sense) average fraction of total demand that will be fulfilled.…”
Section: Reliabilitymentioning
confidence: 99%
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