Prediction of Water Pipe Failure Using Fuzzy Inference System

T. Dawood, E. Elwakil, H. M. Novoa, J. F.G. Delgado

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Recurrent incidences of pipeline failure bring about serious physical, economical, and environmental consequences. Therefore, developing pragmatic approaches to model the water distribution infrastructure is crucial for preserving these assets. The objective of this paper is to develop a pipe failure prediction model grounded in fuzzy inference system and the probability of failure analysis to estimate the rate of failure in water infrastructure. First, the attributes that contribute to water pipelines deterioration are identified. Second, the fuzzy logic engine is designed to simulate the defined codes and functions. Third, probability of failure schemes are generated to address the uncertainties and predict the risk associated with water pipes’ failure. The developed model was applied to the water network of the city of El Pedregal in Peru. This paper developed an automated tool, expected to improve the quality of decision making, as it can assist water utility managers and infrastructure engineers in optimizing their future plans.

Idioma originalInglés
Título de la publicación alojadaProceedings of the Canadian Society of Civil Engineering Annual Conference 2021 - CSCE21 Structures Track Volume 1
EditoresScott Walbridge, Mazdak Nik-Bakht, Kelvin Tsun Ng, Manas Shome, M. Shahria Alam, Ashraf El Damatty, Gordon Lovegrove
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas159-165
Número de páginas7
ISBN (versión impresa)9789811905100
DOI
EstadoPublicada - 2023
EventoAnnual Conference of the Canadian Society of Civil Engineering, CSCE 2021 - Virtual, Online
Duración: 26 may. 202129 may. 2021

Serie de la publicación

NombreLecture Notes in Civil Engineering
Volumen241
ISSN (versión impresa)2366-2557
ISSN (versión digital)2366-2565

Conferencia

ConferenciaAnnual Conference of the Canadian Society of Civil Engineering, CSCE 2021
CiudadVirtual, Online
Período26/05/2129/05/21

Nota bibliográfica

Publisher Copyright:
© 2023, Canadian Society for Civil Engineering.

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