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Structural failures on the water pipeline network represent 53% of the causes of economic losses. To make the network profitable and minimize these losses, a diagnostic study is carried out based on the theory of conditional probabilities. A Bayesian probabilistic network is developed whose nodes represent the structural failures and their causes. In this study structural failures are considered as undesirable and dreaded events. From this study is easy to state that Bimetallic connections and degradation by aging of joints are the main causes of structural failures. An action plan is also determined from the inference in the developed Bayesian network. Actions are either: corrective actions, control and inspection actions, surveillance and monitoring. To show the effectiveness of the proposed tool, a case study on a water pipeline network is carried out. The actions taken in this paper\'s case study are: Remove or avoid metallic connections and Replace and repair joints, which represent mainly corrective actions. Other more complex probabilistic models will be developed in future work in order to take all failures on the water pipeline network.

Item Type	Conference
Divisions	» Laboratory of Research on Electromechanical and Dependability » Faculty of Science and Technology
ePrint ID	4715
Date Deposited	2023-12-15
Further Information	Google Scholar
URI	https://univ-soukahras.dz/en/publication/article/4715

@inproceedings{uniusa4715,
    title={Structural failures diagnosis in water networks Based on conditional probability theory},
    author={Abdelaziz LAKEHAL and Farouk Mahfoudi},
    year={2023},
    booktitle={10thINTERNATIONAL CONFERENCE ON COMPUTATIONAL AND EXPERIMENTAL SCIENCE AND ENGINEERING}
}