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Shape optimization of egg-shaped sewer pipes based on the nondominated sorting genetic algorithm (NSGA-II)
Hanting Wu1, Yangrui Huang1, Lei Chen2
1College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China; Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai, 200092, China.
Environmental Research
|September 10, 2021
Summary
Optimized egg-shaped sewers significantly reduce siltation and energy loss compared to traditional circular sewers. This structural improvement offers a promising solution for preventing overflow pollution in combined sewer systems.
Area of Science:
- Environmental Engineering
- Fluid Mechanics
- Urban Infrastructure
Background:
- Combined sewers experience overflow pollution during wet weather.
- Existing research lacks focus on structural optimization for sewer siltation prevention.
- The anti-sedimentation performance of egg-shaped sewers is not well-established.
Purpose of the Study:
- To structurally optimize egg-shaped sewers for reduced sedimentation.
- To minimize energy loss in sewers under varying flow conditions.
- To compare the performance of optimized egg-shaped sewers against circular sewers.
Main Methods:
- Utilized the nondominated sorting genetic algorithm II (NSGA-II) for optimization.
- Maintained constant full filling discharge capacity equivalent to a 300 mm circular sewer.
- Analyzed shear stress and sediment transport dynamics across different flow ratios.
Main Results:
- Optimized egg-shaped sewers (radii 58.3/116.6 mm, height 408.1 mm) outperformed 300 mm circular sewers.
- At low flow (ratio < 0.2), egg-shaped sewers showed 5.2%-20.6% higher shear stress.
- At high flow (ratio > 0.6), egg-shaped sewers exhibited 5.5%-10.1% lower shear stress, reducing energy loss.
Conclusions:
- Egg-shaped sewers demonstrate superior anti-sedimentation performance.
- Optimized egg-shaped designs offer reduced energy loss at high flows.
- Egg-shaped sewers present a viable alternative to circular sewers for improved performance and cost control.
