Investigating the influence of surrounding soil properties on leakage discharge from cracks in polyethylene pipes

Latifi, Milad; Parvaneh, Rezvan; Naeeni, Seyed Taghi Omid

doi:10.1016/j.engfailanal.2022.106676

“…The networks with the optimised PRV placement and setting are reanalysed with the new leakage distribution. First the material specific β parameters are selected based on literature data [16][17][18][19][51][52][53], see Table 3. To pick a value, a stochastic approach is used.…”

Section: A New Network Calibration Is Completed To Identify the New N...mentioning

confidence: 99%

“…Although numerous circumstances (e.g. the type of the damage, the material of the pipe, the acidity of the soil, or even the density of the traffic on the nearest streets) change the volume and the probability of the leakages [16][17][18][19], the uncertainty of the leakage modelling is yet underrepresented in the literature. This paper also presents a sensitivity analysis how the parameters in the leakage model effects the achieved leakage reduction in the optimised network.…”

Section: Introductionmentioning

confidence: 99%

Leakage reduction of Water Distribution Networks with Clustering

Huzsvár

¹

,

Wéber

²

,

Szabó

³

et al. 2022

Preprint

0

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Nowadays, the rapid growth of operational costs and human resource shortages increase the importance of the leakage reduction, and the pressure management. This paper presents an optimisation procedure placing pressure-reducing valves (PRVs) to minimise the water losses of real-life water distribution networks (WDNs). The number and placement of the valves are optimised from clustering perspective with the Leiden algorithm. The optimal settings of the valves are determined with a differential evolution algorithm, where a compound fitness function is applied. On the one hand, it minimises the leakages, on the other hand, evades the pressure-dependent consumer outages, i.e. it keeps the pressure above the desired. Seven real-life water distribution networks were analysed from the region of Western Hungary using the techniques. Moreover, three of them are analysed in details. The robustness of the achieved leakage reduction with the optimised PRV placement is analysed to the uncertainty of the leakage exponent.

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“…Latifi et al [14] demonstrated a strong correlation between leakage and specific factors, namely grain diameter over 50% passage, plastic limit, and hydraulic permeability. In a subsequent study, Latifi et al [15] conducted experimental investigations on pipe leakage with various soil compositions. Their findings indicate that soil properties are more accurately represented by the particle diameter at 50% passing (D 50 ), dry unit weight (γ d ), and hydraulic permeability coefficient (k).…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation of Leakage Flow Rate and Fluidisation beneath Polyethylene Pipes in Non-Uniform Soils

Sharafodin,

Latifi,

Ghodsian

2024

Water

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Soil fluidisation around buried pipes is one of the water leakage effects that has a direct influence on the ultimate failure of pipelines. In this research, using a laboratory model, the fluidisation caused by water leakage from three cracks with three lengths (14, 17, and 20 mm) and a 3 mm diameter hole for five pressures (1.5–5.5 bar) in non-uniform soils has been evaluated. The experiments were carried out both for pipes buried in soil, as well as exposed pipes. In the buried pipe tests, leakage flow rate, fluidisation, and mobile bed zone dimensions were investigated. The results showed that the increase in leakage flow rate due to an increase in pressure and crack length in exposed pipes is higher than in buried pipes. The exponent of the leakage–pressure relationship was obtained between 0.40 and 0.47 for the hole and between 0.8 and 1.9 in the crack. Observing different development patterns for fluidisation and mobile bed zones in cracks and holes, new relationships are presented for the height, width, and cross-sectional area of the leakage zones.

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Optimal Placement and Settings of Valves for Leakage Reduction in Real Life Water Distribution Networks

Huzsvár,

Wéber,

Szabó

et al. 2023

Water Resour Manage

5

0

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Nowadays, the rapid growth of operational costs and human resource shortages increase the importance of the leakage reduction, and the pressure management. This paper presents an optimisation procedure placing pressure-reducing valves (PRVs) to minimise the water losses of real-life water distribution networks (WDNs). The number and placement of the valves are optimised from clustering perspective with the Leiden algorithm. The optimal settings of the valves are determined with a differential evolution algorithm, where a compound fitness function is applied. On the one hand, it minimises the leakages, on the other hand, evades the pressure-dependent consumer outages, i.e. it keeps the pressure above the desired. Seven real-life water distribution networks were analysed from the region of Western Hungary using the techniques. Moreover, three of them are analysed in details. The robustness of the achieved leakage reduction with the optimised PRV placement is analysed to the uncertainty of the leakage exponent.

show abstract

Investigating the influence of surrounding soil properties on leakage discharge from cracks in polyethylene pipes

Cited by 5 publications

References 14 publications

Leakage reduction of Water Distribution Networks with Clustering

Leakage reduction of Water Distribution Networks with Clustering

Experimental Investigation of Leakage Flow Rate and Fluidisation beneath Polyethylene Pipes in Non-Uniform Soils

Optimal Placement and Settings of Valves for Leakage Reduction in Real Life Water Distribution Networks

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