Aqua (Dec 2023)

Resilience enhancement of water distribution networks under pipe failures: a hydraulically inspired complex network approach

  • Mohsen Hajibabaei,
  • Azadeh Yousefi,
  • Sina Hesarkazzazi,
  • Amin Minaei,
  • Oswald Jenewein,
  • Mohsen Shahandashti,
  • Robert Sitzenfrei

DOI
https://doi.org/10.2166/aqua.2023.180
Journal volume & issue
Vol. 72, no. 12
pp. 2358 – 2376

Abstract

Read online

The resilience of water distribution networks (WDNs) should be proactively evaluated to reduce the potential impacts of disruptive events. This study proposes a novel hydraulically-inspired complex network approach (HCNA) to assess and enhance WDN resilience in the case of single-pipe failure. Unlike conventional hydraulic-based models, HCNA requires no hydraulic simulations for resilience analysis. Instead, it quantifies the failure consequences of edges (pipes) on the WDN graph by incorporating topological attributes with flow redistribution triggered by failures. This HCNA procedure leads to the identification of critical edges (pipes), as well as impacted ones, representing edges more susceptible to the failure of others. The impacted edges are then systematically resized by integrating HCNA with a graph-based design approach, obtaining a wide range of resilience enhancement solutions. A comparative study between HCNA and a hydraulic-based model for three WDNs confirms HCNA's effectiveness in identifying the most critical pipes in various network sizes. Furthermore, HCNA provides comparable resilience enhancement solutions with a hydraulic-based evolutionary optimization but with significantly lower computational effort (1,400 times faster). Thus, it can efficiently be used for resilience enhancement of large-scale WDNs, where the application of conventional optimizations is limited due to the intensive computational workload. HIGHLIGHTS A novel graph theory-based approach for evaluating and enhancing resilience.; Utilizing topological metrics to reproduce the hydraulic behavior.; Offering optimal resilience enhancement solutions without hydraulic simulation.; Requiring significantly less computational effort than evolutionary optimization.;

Keywords