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Article

Design and Optimization of γ-Shaped Settlement Training Wall Based on Numerical Simulation and CCD-Response Surface Method

College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225009, China
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Author to whom correspondence should be addressed.
Processes 2022, 10(6), 1201; https://doi.org/10.3390/pr10061201
Submission received: 29 April 2022 / Revised: 8 June 2022 / Accepted: 14 June 2022 / Published: 17 June 2022
(This article belongs to the Special Issue Design and Optimization Method of Pumps)

Abstract

To ameliorate the inflow state of the joint hub of a pump station and sluice, a γ-shaped settlement training wall was designed with its state adjusted automatically in line with the actual working condition of the project. The central composite design (CCD) of the response surface method was adopted to optimize the geometrical size of the training wall in the operational states of pumping and free-draining separately. The results showed that the alteration of different size factors of the γ-shaped settlement training wall had different degrees of influence on its rectification effect; the intake flow state of the joint hub of the sluice and pumping station with the γ-shaped settlement training wall can be significantly improved with the flow velocity uniformity in the inlet channel next to the junction of the sluice chamber, reaching 80.42%, and the flow velocity uniformity ahead of the sluice, reaching 84.78%, in the operational state of free-draining. By combining the results of numerical simulation, the feasibility of the response surface method was further verified and the optimal combination of geometric parameters of the γ-shaped settlement training wall were also obtained, which can be adopted in the design of the actual joint hub of the pump station and sluice.
Keywords: the joint hub of pump station and sluice; optimal design; response surface method; training wall; numerical simulation the joint hub of pump station and sluice; optimal design; response surface method; training wall; numerical simulation

Share and Cite

MDPI and ACS Style

Xu, B.; Liu, J.; Lu, W.; Xu, L.; Xu, R. Design and Optimization of γ-Shaped Settlement Training Wall Based on Numerical Simulation and CCD-Response Surface Method. Processes 2022, 10, 1201. https://doi.org/10.3390/pr10061201

AMA Style

Xu B, Liu J, Lu W, Xu L, Xu R. Design and Optimization of γ-Shaped Settlement Training Wall Based on Numerical Simulation and CCD-Response Surface Method. Processes. 2022; 10(6):1201. https://doi.org/10.3390/pr10061201

Chicago/Turabian Style

Xu, Bo, Jianfeng Liu, Weigang Lu, Lei Xu, and Renyi Xu. 2022. "Design and Optimization of γ-Shaped Settlement Training Wall Based on Numerical Simulation and CCD-Response Surface Method" Processes 10, no. 6: 1201. https://doi.org/10.3390/pr10061201

APA Style

Xu, B., Liu, J., Lu, W., Xu, L., & Xu, R. (2022). Design and Optimization of γ-Shaped Settlement Training Wall Based on Numerical Simulation and CCD-Response Surface Method. Processes, 10(6), 1201. https://doi.org/10.3390/pr10061201

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