Optimization of the Hollow Rectification Sill in the Forebay of the Pump Station Based on the PSO-GP Collaborative Algorithm
The layout of the pump station is easily affected by topography, site, and other factors, resulting in poor inlet flow patterns in the forebay, which seriously affect the normal operation of the pump station. To optimize its inlet flow pattern, the size of the hollow rectification sill has been cont...
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| Published in | Shock and vibration Vol. 2021; no. 1 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Cairo
Hindawi
2021
John Wiley & Sons, Inc Wiley |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1070-9622 1875-9203 1875-9203 |
| DOI | 10.1155/2021/6618280 |
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| Abstract | The layout of the pump station is easily affected by topography, site, and other factors, resulting in poor inlet flow patterns in the forebay, which seriously affect the normal operation of the pump station. To optimize its inlet flow pattern, the size of the hollow rectification sill has been continuously improved through physical model tests to meet the requirements of the required pump station inlet flow field. In this paper, particle swarm optimization (PSO) was combined with the Gaussian process (GP) to establish a particle swarm-Gaussian process (PSO-GP) model to predict the velocity uniformity of the inlet sump of pump stations with different hole-to-height ratios, hole-to-width ratios, upper-to-lower sill length ratios, and sill height-to-water table ratios. Finally, the hollow rectification sill with the optimal size was obtained and tested in the physical model to compare the rectification effect with other sizes of hollow sills. The results show that the algorithm model can help the traditional physical experiment quickly predict the velocity uniformity of the inlet sump of the pump station. Through the optimization by the PSO-GP algorithm, we can get the optimal size of the hollow rectification sill. Its hole-to-height ratio is 0.62, its hole-to-width ratio is 0.37, upper-to-lower sill length ratio is 0.63, and sill height-to-water table ratio is 0.23. It shows that this method is practical in the optimization design of the hollow rectification sill and provides a new method for the optimization of the flow field in the forebay of the pump station. |
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| AbstractList | The layout of the pump station is easily affected by topography, site, and other factors, resulting in poor inlet flow patterns in the forebay, which seriously affect the normal operation of the pump station. To optimize its inlet flow pattern, the size of the hollow rectification sill has been continuously improved through physical model tests to meet the requirements of the required pump station inlet flow field. In this paper, particle swarm optimization (PSO) was combined with the Gaussian process (GP) to establish a particle swarm-Gaussian process (PSO-GP) model to predict the velocity uniformity of the inlet sump of pump stations with different hole-to-height ratios, hole-to-width ratios, upper-to-lower sill length ratios, and sill height-to-water table ratios. Finally, the hollow rectification sill with the optimal size was obtained and tested in the physical model to compare the rectification effect with other sizes of hollow sills. The results show that the algorithm model can help the traditional physical experiment quickly predict the velocity uniformity of the inlet sump of the pump station. Through the optimization by the PSO-GP algorithm, we can get the optimal size of the hollow rectification sill. Its hole-to-height ratio is 0.62, its hole-to-width ratio is 0.37, upper-to-lower sill length ratio is 0.63, and sill height-to-water table ratio is 0.23. It shows that this method is practical in the optimization design of the hollow rectification sill and provides a new method for the optimization of the flow field in the forebay of the pump station. |
| Audience | Academic |
| Author | Xu, Bo Lu, Weigang Wang, Chuan Xi, Wang |
| Author_xml | – sequence: 1 givenname: Wang orcidid: 0000-0002-2413-9395 surname: Xi fullname: Xi, Wang organization: College of Hydraulic Science and EngineeringYangzhou UniversityYangzhouJiangsu 225009Chinayzu.edu.cn – sequence: 2 givenname: Weigang orcidid: 0000-0002-3368-3704 surname: Lu fullname: Lu, Weigang organization: College of Hydraulic Science and EngineeringYangzhou UniversityYangzhouJiangsu 225009Chinayzu.edu.cn – sequence: 3 givenname: Chuan orcidid: 0000-0002-2525-3093 surname: Wang fullname: Wang, Chuan organization: College of Hydraulic Science and EngineeringYangzhou UniversityYangzhouJiangsu 225009Chinayzu.edu.cn – sequence: 4 givenname: Bo orcidid: 0000-0002-6310-112X surname: Xu fullname: Xu, Bo organization: College of Hydraulic Science and EngineeringYangzhou UniversityYangzhouJiangsu 225009Chinayzu.edu.cn |
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| Cites_doi | 10.1007/s11356-020-08630-6 10.1007/s11356-020-07802-8 10.1016/j.renene.2020.10.045 10.1016/j.powtec.2016.10.065 10.3390/w12041116 10.1177/1748301818770943 10.3390/s20061726 10.1115/1.4047305 10.3390/app9163292 10.1016/j.energy.2020.118078 10.1007/s40430-018-1355-6 10.1016/j.isatra.2020.05.041 10.1109/ACCESS.2019.2963092 10.1007/s00348-015-2023-6 10.1016/j.energy.2020.116955 10.3390/en13020464 10.1080/00207543.2019.1650975 10.3390/en13040779 10.1109/access.2020.3012182 10.1109/access.2020.2992692 10.1016/j.actaastro.2020.04.048 10.1631/FITEE.1900457 10.3390/ijerph17062163 10.3390/en13071628 10.2166/ws.2019.005 10.2507/ijsimm19-1-506 10.1080/02626667.2019.1625052 10.3390/en13071744 |
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| Copyright | Copyright © 2021 Wang Xi et al. COPYRIGHT 2021 John Wiley & Sons, Inc. Copyright © 2021 Wang Xi et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
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| Snippet | The layout of the pump station is easily affected by topography, site, and other factors, resulting in poor inlet flow patterns in the forebay, which seriously... |
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| SubjectTerms | Algorithms Design optimization Flow distribution Gaussian process Genetic algorithms Inlet flow Mathematical optimization Model testing Optimization algorithms Particle swarm optimization Pumping stations Random variables Turbulence models Velocity Water table |
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| Title | Optimization of the Hollow Rectification Sill in the Forebay of the Pump Station Based on the PSO-GP Collaborative Algorithm |
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