Risk-Informed Framework for Sewerage System Rehabilitation Management
Publication: Journal of Pipeline Systems Engineering and Practice
Volume 12, Issue 2
Abstract
The increasing storm frequency and severity due to climate change, and sewer system degradation due to aging and corrosion impose a greater risk of failure and overflooding to drainage systems. This paper proposes a new risk-informed framework in order to identify optimal strategies for drainage system rehabilitation under limited rehabilitation budgets. The proposed Hydraulics and Risk Combined Model (HRCM) dynamically couples the Storm Water Management Model (SWMM) and a risk model through a multiobjective optimization to maximize hydraulic performance while minimizing the risk of failure of the sewer system. The sensitivity analysis shows that with a small population size in a genetic algorithm the HRCM is capable of solving complex test cases. In addition, with increasing population size, the Pareto front converges with several rehabilitation strategies having the same objective function values. The model is examined in the context of several simple and complex scenarios, and the results demonstrate the model’s validity and robustness. The results also show that the proposed model is capable of identifying satisfactory rehabilitation strategies that can inform the optimal drainage system rehabilitation.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available from the corresponding author by request: HRCM source code, input data files, and output results files.
Acknowledgments
The authors would like to acknowledge Zirou Qiu at the University of Virginia for his help in programming.
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© 2020 American Society of Civil Engineers.
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Received: Apr 29, 2020
Accepted: Sep 4, 2020
Published online: Dec 31, 2020
Published in print: May 1, 2021
Discussion open until: May 31, 2021
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