This paper presents a novel framework for the deterioration modeling in conjunction with quantifying the water network's failure index. It involves developing a method and an intelligent model using Monte Carlo Simulation to estimate the deterioration indices (DIs) of watermains through intricate iterative simulations. The developed method is implemented on the water system of the City of El Pedregal in Peru. The efficacy of this framework has been verified against the multiple linear regression (MLR) method and proved to be sound. The developed framework provides insights for infrastructure managers in the aspects of, when to intervene, what to maintain, replace, or rehabilitate.
|Title of host publication||2022 IEEE Conference on Technologies for Sustainability, SusTech 2022|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|State||Published - 2022|
|Event||9th Annual IEEE Conference on Technologies for Sustainability, SusTech 2022 - Virtual, Online, United States|
Duration: 21 Apr 2022 → 22 Apr 2022
|Name||2022 IEEE Conference on Technologies for Sustainability, SusTech 2022|
|Conference||9th Annual IEEE Conference on Technologies for Sustainability, SusTech 2022|
|Period||21/04/22 → 22/04/22|
Bibliographical noteFunding Information:
This work is supported by the collaboration of the Universidad Nacional de San Agust n (UNSA) in Arequipa, Peru, and Purdue University in Indiana, USA, through Discovery Park's Center for the Environment (C4E).
© 2022 IEEE.
- Pipe failure
- Water distribution networks