2015
DOI: 10.1080/1573062x.2014.994006
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Systematic material and crack type specific pipe burst outflow simulations by means of EPANET2

Abstract: The calculation of outflow from pipe bursts is of interest for water utilities, as the discharged water may cause large amounts of damage to the adjacent infrastructure. Therefore, the crack type specific relationship between leakage outflow and pressure is of interest. Recent findings offer new opportunities for burst outflow calculations with hydraulic models. In this paper, we compare two calculation approaches according to uncertainties caused by input parameters and give recommendations for the applicabil… Show more

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Cited by 12 publications
(1 citation statement)
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“…Van (2007) demonstrated the outshot of flow exponent on the leakage flow rate, as indicated in Fig 10 . When the pressure at the leakage point is reduced by half, then the flow exponent 0.5, 1.0, and 2.5 will be reduced by 29%, 50% and 82% respectively, where H is the values of pressure at the leakage points and q is the leakage flow rate. As per Hanusch et al (2007), the flow exponent for cast iron pipes was 0.85; for PE was 1.5 and 0.9 for asbestos. The discharge coefficient of different networks varies depending on the geometry of orifices area, including pipe materials, leak openings, and pressure head.…”
Section: Emitter Functions In Modelling Leakagesmentioning
confidence: 79%
“…Van (2007) demonstrated the outshot of flow exponent on the leakage flow rate, as indicated in Fig 10 . When the pressure at the leakage point is reduced by half, then the flow exponent 0.5, 1.0, and 2.5 will be reduced by 29%, 50% and 82% respectively, where H is the values of pressure at the leakage points and q is the leakage flow rate. As per Hanusch et al (2007), the flow exponent for cast iron pipes was 0.85; for PE was 1.5 and 0.9 for asbestos. The discharge coefficient of different networks varies depending on the geometry of orifices area, including pipe materials, leak openings, and pressure head.…”
Section: Emitter Functions In Modelling Leakagesmentioning
confidence: 79%