1. Water pipe failure prediction and risk models: state-of-the-art review
- Author
-
Dawood, Thikra, Elwakil, Emad, Novoa, Hector Mayol, and Delgado, Jose Fernando Garate
- Subjects
Risk assessment ,Machine learning ,Algorithms ,Algorithm ,Engineering and manufacturing industries - Abstract
This review paper presents the current state-of-the-art pertains to water pipe failure prediction and risk assessment, published in the last ten years (2009-2019). This paper has been motivated by the lack of comprehensive review articles that integrates water network failure and risk modeling. Some of the current practices reviewed the pipe condition and its failure. Others focused on the statistical prediction models, whereas the rest outlined failure prediction models of large diameter mains only. The mainstream of the current practice, highlighted in this paper characterizes the structural deterioration and failure rates using various statistical techniques, whereas the remainder of research covers a proliferation of machine learning and soft computing applications to forecast and model the pipeline risk of failure. The review offers descriptions of the models together with their proposed methodologies, algorithms and equations, contributions and drawbacks, comparisons and critiques, and types of data used to develop the models using the bibliographic review method. Finally, future work and research challenges are recommended to assist the civil engineering research community in setting a clear agenda for the upcoming research. Key words: pipe failure, risk analysis, prediction models, water main deterioration, water main rehabilitation, infrastructure, state-of-the-art review. Le present article de synthese presente l'etat actuel des realisations en matiere de prevision des defaillances de conduites d'eau et revaluation des risques, tel que publie au cours des dix dernieres annees (2009-2019). C'est l'absence d'etudes globales integrant la defaillance d'un reseau d'eau et la modelisation des risques qui a motive cette etude. Certaines des pratiques actuelles ont examine l'etat de la conduite et sa defaillance. D'autres ont porte sur les modeles de prediction statistique, tandis que les autres ont decrit les modeles de prediction de defaillances de conduites principales de grand diametre seulement. Le courant dominant de la pratique actuelle, mis en evidence dans le present document, caracterise la deterioration structurelle et les taux de defaillance a l'aide de diverses techniques statistiques, alors que le reste de la recherche porte sur une multitude d'applications d'apprentissage automatique et de calcul electronique pour prevoir et modeliser le risque de defaillance de pipeline. La revue propose des descriptions de modeles ainsi que leurs methodologies, algorithmes et equations proposes, leurs contributions et inconvenients, des comparaisons et critiques, et les types de donnees utilisees pour elaborer les modeles a l'aide de la methode de la revue bibliographique. Enfin, on suggere les prochains travaux et les defis associes a la recherche pour aider le milieu de la recherche en genie civil a etablir un programme clair pour la recherche a venir. [Traduit par la Redaction] Mots-cles: defaillance de conduites, analyse des risques, modeles de prediction, deterioration de conduite principale, rehabilitation de conduite principale, infrastructure, revue sur l'etat actuel des connaissances., Introduction Water supply networks have always been an integral part of public infrastructure and a vital constituent of the national assets. Unfortunately, communities all over the world experience undesired incidents [...]
- Published
- 2020
- Full Text
- View/download PDF