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A Decision-making Framework for Water Distribution Systems using Fuzzy Inference and Centrality Analysis

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Authors
Mazumder, Ram K.; Salman, Abdullahi M.; Li, Yue; Yu, Xiong
Issue Date
2019-05-26
Citation
13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), Seoul, South Korea, May 26-30, 2019
Abstract
Water Distribution Systems (WDSs) are among the most important infrastructures that are critical for the smooth functioning of communities. However, age-old existing WDSs are progressively at risk in the United States. Since failure in a WDS may affect other interdependent infrastructure and result in high economic consequences, water utilities are more interested in preventing rather than reacting to failure. The current study proposes a decision support framework that employs fuzzy hierarchical inference and network graph analysis to rank the most vulnerable water pipelines considering a set of risk factors and their negative consequences. Fourteen (14) risk factors are identified considering water and road network interdependence. These factors are classified into four main vulnerability indices (strength, hydraulic, environmental, road) and one consequence class in order to evaluate the integrated risk of water mains. Fuzzy analytical hierarchy process is used to quantify the uncertainty in the risk factors to aid the decision-making process. Network centrality analysis is used to identify the most critical components of the WDS. The final decision is made by combining the outputs from the fuzzy inference and the network centrality analysis. The WDS of Modena, Italy is used to demonstrate the proposed approach.
Language
English
URI
https://hdl.handle.net/10371/153463
DOI
https://doi.org/10.22725/ICASP13.313
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Civil & Environmental Engineering (건설환경공학부)ICASP13
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