Conflict resolution in the multi-stakeholder stepped spillway design under uncertainty by machine learning techniques

Mehrdad Ghorbani Mooselu, Mohammad Reza Nikoo*, Parnian Hashempour Bakhtiari, Nooshin Bakhtiari Rayani, Azizallah Izady

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The optimal spillway design is of great significance since these structures can reduce erosion downstream of the dams. This study proposes a risk-based optimization framework for a stepped spillway to achieve an economical design scenario with the minimum loss in hydraulic performance. Accordingly, the stepped spillway was simulated in the FLOW-3D® model, and the validated model was repeatedly performed for various geometric states. The results were used to form a Multilayer Perceptron artificial neural network (MLP-ANN) surrogate model. Then, a risk-based optimization model was formed by coupling the MLP-ANN and NSGA-II. The concept of conditional value at risk (CVaR) was utilized to reduce the risk of the designed spillway malfunctions in high flood flow rates, while minimizing the construction cost and the loss in hydraulic performance. Lastly, given the conflicting objectives of stakeholders, the non-cooperative graph model for conflict resolution (GMCR) was applied to achieve a compromise on the Pareto optimal solutions. Applicability of the suggested approach in the Jarreh Dam, Iran, resulted in a practical design scenario, which simultaneously minimizes the loss in hydraulic performance and the project cost and satisfies the priorities of decision-makers.

Original languageEnglish
Article number107721
JournalApplied Soft Computing
Volume110
DOIs
Publication statusPublished - Oct 2021

Keywords

  • CVaR-based optimization model
  • FLOW-3D®
  • GMCR-plus
  • NSGA-II
  • Stepped spillway

ASJC Scopus subject areas

  • Software

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