Watermain's failure index modeling via Monte Carlo simulation and fuzzy inference system

Author:

Dawood Thikra,Elwakil Emad,Mayol Novoa Hector,Fernando Gárate Delgado José

Funder

Purdue University

Publisher

Elsevier BV

Subject

General Engineering,General Materials Science

Reference25 articles.

1. Pressure data-driven model for failure prediction of PVC pipelines;Dawood;Engineering Failure Analysis,2020

2. Improving urban water security through pipe-break prediction models: Machine learning or survival analysis;Snider;Journal of Environmental Engineering,2020

3. Folkman, S. 2018. Watermain break rates in the USA and Canada: a comprehensive study. https://digitalcommons.usu.edu/mae_facpub/174/.item/drinking_water/.

4. Predicting the timing of watermain failure using artificial neural networks;Harvey;Journal of Water Resources Planning and Management,2014

5. ASCE 2021. Infrastructure Report Card. https://infrastructurereportcard.org/.

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