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排水泵站整流底坎参数优化
引用本文:李志祥,冯建刚,钱尚拓,徐辉.排水泵站整流底坎参数优化[J].农业工程学报,2021,37(3):56-63.
作者姓名:李志祥  冯建刚  钱尚拓  徐辉
作者单位:1. 河海大学水利水电学院,南京 210098;;2. 河海大学农业科学与工程学院,南京 210098; 3. 西藏农牧学院水利土木工程学院,林芝 860000;;1. 河海大学水利水电学院,南京 210098; 2. 河海大学农业科学与工程学院,南京 210098;
基金项目:国家自然科学基金项目(51779082、51009051);中央高校基本科研业务费专项资金(2019B18414)
摘    要:排水泵站进水建筑物内易产生回流、漩涡等不良流态,底坎作为常见的整流措施,其体型及布置位置优化时通常依据工程经验进行调整,导致整流效果难以达到最优.为优化底坎整流措施体型及布置参数,该研究以整流底坎的坎高、坎距参数为设计变量,采用信息量权数法将水力损失系数、流速不均匀系数和喇叭口涡量特征值3个评价指标加权形成综合目标函数...

关 键 词:排水  优化    整流底坎  参数  信息量权数  响应曲面模型
收稿时间:2020/9/24 0:00:00
修稿时间:2021/1/1 0:00:00

Optimization of rectification bottom sill parameters in drainage pumping stations
Li Zhixiang,Feng Jiangang,Qian Shangtuo,Xu Hui.Optimization of rectification bottom sill parameters in drainage pumping stations[J].Transactions of the Chinese Society of Agricultural Engineering,2021,37(3):56-63.
Authors:Li Zhixiang  Feng Jiangang  Qian Shangtuo  Xu Hui
Institution:1.College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China;;2.College of Agricultural Science and Engineering, Hohai University, Nanjing 210098, China; 3.Water Conservancy Project & Civil Engineering College, Tibet Agriculture & Animal Husbandry University, Linzhi 860000, China;; 1.College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China; 2.College of Agricultural Science and Engineering, Hohai University, Nanjing 210098, China;
Abstract:Adverse flow patterns, such as backflow and vortex, often exist in the intake structure of drainage pumping station, which affected the stability of pump operation. Many rectification measures have been proposed to improve the flow patterns, one of which is the bottom sill. This study aims to optimize the design for the shape and layout of bottom sill using computational fluid dynamics (CFD) technology and response surface method (RSM), where the height and distance parameters were most important influence factors. Taking the height and distance as design variables, a systematic optimization was performed on the structural parameters of bottom sill to improve flow patterns. A comparison was made on the numerical calculation and model test results on surface streamlines and velocity distribution, thereby to verify the reliability of numerical simulation used in this study. A Sobol'' index method was utilized to clarify the global sensitivity of response surface model, together with the interaction between design parameters. Furthermore, the information weight method was used to estimate three evaluation indexes: the coefficient of hydraulic loss, unevenness coefficient of flow rate, and characteristic value of horn mouth vorticity, in order to form a comprehensive objective function. As such, the comprehensive objective function quantitatively showed the influence of bottom sill rectification on the velocity and vorticity field in the intake structure of drainage pumping station. The results showed that the changes of two design parameters had a great influence on the response surface model, indicating that there was a significant interaction between the height and distance parameters of the bottom sill. The relative height of bottom sill had a higher impact on the model than the relative distance. There was a great impact on the flow pattern of intake structure under the coupling height and distance of bottom sill, indicating a significantly improved flow pattern after optimizing. An optimal combination of parameters was obtained using the steepest descent method in the response surface model, where the relative height of bottom sill was 0.29, and the relative distance of bottom sill was 5.02. The uneven distribution coefficient of velocity, hydraulic efficiency of computational domain, and vortex distribution value of intake bell mouth were reduced by 19.28%, 5.26% and 5.76%, respectively. In addition, the R2 for the comprehensive objective function was 0.86, and the root mean square error was 0.02. The relative error was 1.30% between the predicted value and the actual one from the calculated comprehensive objective function. The data showed that the response surface model can accurately optimize the relationship between the design parameters of bottom sill and the comprehensive objective function. The information weight method can be used for the multi-objective optimization on hydraulic characteristics of intake structure. The response surface model can be applied to the parameter optimization of rectification measures in pumping station.
Keywords:drainage  optimization  pumps  bottom sills  parameters  information weight  response surface models
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