Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 126306 - 126306
Published: Jan. 1, 2025
Language: Английский
Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 126306 - 126306
Published: Jan. 1, 2025
Language: Английский
Water Resources Management, Journal Year: 2019, Volume and Issue: 33(10), P. 3595 - 3613
Published: July 20, 2019
Language: Английский
Citations
32Water Resources Management, Journal Year: 2021, Volume and Issue: 35(4), P. 1197 - 1210
Published: March 1, 2021
Abstract Most real-world networks, from the World-Wide-Web to biological systems, are known have common structural properties. A remarkable point is fractality, which suggests self-similarity across scales of network structure these complex systems. Managing computational complexity for detecting big-sized systems represents a crucial problem. In this paper, novel algorithm revealing that exploits community principle, proposed and then applied several water distribution (WDSs) different size, unveiling self-similar feature their layouts. scaling-law relationship, linking number clusters necessary covering average size defined, exponent fractal dimension. The investigated as proxy recurrent specific response multiple random pipe failures – like during natural disasters pointing out global vulnerability each WDS. index, called Cut-Vulnerability introduced ratio between dimension node degree, its relationships with randomly removed pipes disconnect some topological metrics investigated. analysis shows effectiveness index in describing WDSs.
Language: Английский
Citations
24Alexandria Engineering Journal, Journal Year: 2022, Volume and Issue: 61(12), P. 11859 - 11877
Published: June 7, 2022
Language: Английский
Citations
17Water, Journal Year: 2024, Volume and Issue: 16(5), P. 646 - 646
Published: Feb. 22, 2024
Water distribution systems (WDSs) are complex networks with numerous interconnected junctions and pipes. The robustness reliability of these critically dependent on their network structure, necessitating detailed analysis for proactive leak detection to maintain integrity functionality. This study addresses gaps in traditional WDS by integrating hydraulic measures graph theory improve sensitivity detection. Through case studies five distinct WDSs, we investigate the relationship between metrics. Our findings demonstrate collective impact factors system efficiency. research provides enhanced insights into operational dynamics highlights significant potential bolster resilience reliability.
Language: Английский
Citations
3Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 126306 - 126306
Published: Jan. 1, 2025
Language: Английский
Citations
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