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作 者:张瑜 李红艳[1,2] 崔建国 张峰[1,2] 史文韬 马熠阳[3] ZHANG Yu;LI Hongyan;CUI Jianguo;ZHANG Feng;SHI Wentao;MA Yiyang(College of Environmental Science and Engineering,Taiyuan University of Technology,Jinzhong 030600,China;Shanxi Municipal Engineering Graduate Education Innovation Center,Jinzhong 030600,China;Luoyang Hongye Information Technology Co.,Ltd.,Luoyang 471003,China)
机构地区:[1]太原理工大学环境科学与工程学院,山西晋中030600 [2]山西省市政工程研究生教育创新中心,山西晋中030600 [3]洛阳鸿业信息科技有限公司,河南洛阳471003
出 处:《人民黄河》2024年第11期155-160,共6页Yellow River
基 金:山西省重点研发计划项目(社会发展领域)(201803D31046);吕梁市引进高层次科技人才重点研发项目(2021RC-1-22);山西省研究生教育创新项目(2022Y252)。
摘 要:为兼顾可靠性和经济性,对高扬程、多起伏输水管道停泵水锤防护设备参数进行优化,构建BP神经网络模拟水力过渡过程,以空气阀和单向调压塔参数为决策变量,协同多目标遗传算法(NSGA-Ⅱ)进行优化得到Pareto最优解集,采用熵权-TOPSIS法进行决策确定最佳方案。将该方法应用于工程实例,结果表明,相比初始方案,优化方案以低于92.06%的单向调压塔容积提供相近的正压防护效果,管道沿线最低负压提升49.28%,与无防护措施相比,在满足管材耐压能力的同时,管道沿线最大、最小压力与屈服能力上、下限的最大差距分别减小84.02%和65.00%。该方法可实现停泵水锤防护计算与智能优化算法有效链接,确定可靠且经济的停泵水锤防护设备参数。In order to optimize the parameters of pump-stopping water hammer protection equipments for high-lift and multi-fluctuation water pipelines with considering reliability and economy,BP neural network was built to simulate the hydraulic transition process.The parameters of air valve and one-way surge tank were taken as decision variables,and the Pareto optimal solution set was obtained by cooperating with multi-objective genetic algorithm(NSGA-Ⅱ).Entropy weight-TOPSIS method was used to determine the best decision.The method was ap-plied to an engineering example.The results show that compared with the initial scheme,the optimized scheme provides similar positive pres-sure protection effect with the volume of the one-way surge tank less than 92.06%,and the minimum negative pressure along the pipeline is increased by 49.28%.Compared with no protective measures,while meeting the pressure resistance capacity of the pipeline,the maximum difference between the maximum and minimum pressure and yield capacity along the pipeline is decreased by 84.03%and 65%respectively.The method can realize the effective connection between the water hammer protection calculation and the intelligent optimization algorithm when the pump is stopped,and determine the reliable and economical parameters of the water hammer protection equipment when the pump is stopped.
关 键 词:高扬程多起伏 输水管道 停泵水锤 BP神经网络 NSGA-Ⅱ 熵权-TOPSIS法
分 类 号:TV134[水利工程—水力学及河流动力学] TU991[建筑科学—市政工程]
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