Identification of Critical Pipes of Water Distribution Networks Using a Hydraulically Informed Graph-Based Approach

Hajibabaei, Mohsen; Yousefi, Azadeh; Hesarkazzazi, Sina; Roy, Abhijit Sinha; Hummel, Michelle A.; Jenewein, Oswald; Shahandashti, Mohsen; Sitzenfrei, Robert

doi:10.1061/9780784484258.097

Cited by 8 publications

(2 citation statements)

References 16 publications

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“…The findings of employing the approach to two networks demonstrate that more than 95% of crucial pipes indicated by it rank first in a hydraulic-based method. The proposed approach may be improved to integrate numerous and parallel failures that hydraulic models cannot analyze in an appropriate runtime [7].…”

Section: A Recent Backgroundmentioning

confidence: 99%

Python Routine for an Easy Visualization of the Influence of Supply Network Characteristics on the Hydraulic Behavior of a Small Closed Loop

Pizzo

Pochwat

Santos

2023

JoCEF

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A routine coded in Python aiming at a quick detection of the hydraulic behavior of a closed supply network as a function of the variation of the input data is presented. Such variables are lengths and diameters of the sections, roughness coefficients of the pipes, terrain elevations, flow distributed in the section and residual flow, and pressure at the upstream node. After a review of the literature on the subject of hydraulic supply models, the process of the fictitious sectioning point is used, so that the closed circuit network can have its behavior assimilated as that of branched network sections, and its calculation be performed as such. This arrangement is achieved by matching head losses between sections. In order to demonstrate the functionality of the routine, 12 simulations are exposed, 06 in each particular sectioning condition, with different input data and respective influences on the network operating conditions, notably, the positioning of the fictitious sectioning point and the contribution of each stretch to the residual flow node.

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Section: A Recent Backgroundmentioning

confidence: 99%

Python Routine for an Easy Visualization of the Influence of Supply Network Characteristics on the Hydraulic Behavior of a Small Closed Loop

Pizzo

Pochwat

Santos

2023

JoCEF

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“…Pipes are the main component of WDN, comprising majority of networks and connecting all other elements within it. This renders them more susceptible to failure compared with other components (Jun et al 2008;Hajibabaei et al 2022). Pipe failures can lead to interruptions in water supply, impacting economic and social aspects within urban environments (Marlim et al 2019).…”

Section: Introductionmentioning

confidence: 99%

A graph-based method for identifying critical pipe failure combinations in water distribution networks

Satish,

Hajibabaei,

Dastgir

et al. 2024

Water Supply

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Water distribution networks (WDNs) are critical infrastructures prone to vulnerabilities which lead to failures. Identifying vulnerable components, especially multiple pipe failure combinations, is crucial for effective management and ensuring high reliability. Hydraulic simulations are commonly used for analysing the criticality of WDN, but are time-consuming and highly data-reliant, limiting the number of testable combinations. To address these limitations and constraints, a graph-based method is proposed to quantify the impact magnitude of multiple pipe failure scenarios on performance, enabling the identification of critical combinations. The proposed graph-based approach utilizes structural and topological characteristics of WDNs as well as spatial demand distribution to replicate hydraulic behaviour. The accuracy of the approach is assessed by testing it on three case studies with various pipe failure combinations, and the results are compared with hydraulic analyses. The results demonstrate a strong correlation (Spearman coefficient > 0.75) between graph-based ranking and state-of-the-art hydraulic-based ranking. Additionally, the method exhibits a significant computational gain factor of greater than 30 compared with the hydraulic-based method, rendering it valuable for actively exploring a wide range of critical pipe failure combinations and devising countermeasures. Furthermore, a hybrid-based method that integrates both the graph and hydraulic-based methods is proposed for enhanced accuracy and robust assessments.

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Graph Method for Modelling Multiple Pipe Failure Scenarios in Urban Drainage Networks

Dastgir

Oberascher

Hesarkazzazi

et al. 2023

World Environmental and Water Resources Congress 2023

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Identification of Critical Pipes of Water Distribution Networks Using a Hydraulically Informed Graph-Based Approach

Cited by 8 publications

References 16 publications

Python Routine for an Easy Visualization of the Influence of Supply Network Characteristics on the Hydraulic Behavior of a Small Closed Loop

Python Routine for an Easy Visualization of the Influence of Supply Network Characteristics on the Hydraulic Behavior of a Small Closed Loop

A graph-based method for identifying critical pipe failure combinations in water distribution networks

Graph Method for Modelling Multiple Pipe Failure Scenarios in Urban Drainage Networks

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