Work

Graph-Based Warm Solutions for Optimal Resilience Enhancement of Water Distribution Networks

Year: 2024

Type: conference-paper

Abstract: This study introduces an efficient graph-based approach for optimal resilience enhancement of existing water distribution networks through the re-sizing of specific pipes. It utilizes modified graph metrics to track the spatial failure propagation resulting from pipe (edge) failures. This leads to identifying pipes (edges) that are more vulnerable to the failure of others, making them suitable candidates for re-sizing. These selected edges undergo re-sizing using a graph-based design approach, generating diverse graph-based solutions. These solutions later serve as warm solutions for the initial population of evolutionary optimization to speed up convergence. Tested on two networks, this approach outperforms traditional optimization (with random initial populations), increasing computational efficiency by over 90%.

DOI: 10.3390/engproc2024069102

Authors: Mohsen Hajibabaei, Amin Minaei, Mohsen Shahandashti, Robert Sitzenfrei

Institutions: Universität Innsbruck, Austrian Academy of Sciences, The University of Texas at Arlington

Language: English

Topic: Water Systems and Optimization

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: gold

OpenAlex ID: W4402417751

FWCI: 1.685

Cites: 9

Cited by: 1

Related to: 10