基于特征线法和遗传算法的管道优化设计

详细信息    查看官网全文

• 英文论文题名：Optimization Design of Pipeline System Based on the Method of Characteristics and Genetic Algorithm
• 论文作者：张晓刚 ; 陈源培 ; 祁昊 ; 范启富
• 英文论文作者：Xiaogang Zhang ; Yuanpei Chen ; Hao Qi ; Qifu Fan ; Department of Automation ; Shanghai Jiao Tong University ; Key Laboratory of System Control and Information Processing ; Ministry of Education of China ; Shanghai Turbine Plant ; Shanghai Electric Power Station Equipment Co. ; Ltd.
• 年：2017
• 作者机构：上海交通大学自动化系系统控制与信息处理教育部重点实验室;上海电气电站设备有限公司上海汽轮机厂;
• 论文关键词：水锤 ; 管道优化设计 ; 特征线法 ; 遗传算法
• 英文论文关键词：Water Hammer ; Optimization Design of Pipeline ; Method of Characteristics ; Genetic Algorithm
• 会议召开时间：2017-07-26
• 会议录名称：第36届中国控制会议论文集（B）
• 英文会议录名称：Proceedings of the 36th Chinese Control Conference（B）
• 语种：中文
• 分类号：TE973.1;TP18
• 学会代码：KZLL
• 会议名称：第36届中国控制会议
• 会议地点：中国辽宁大连
• 主办单位：中国自动化学会控制理论专业委员会
• 学会名称：中国自动化学会控制理论专业委员会
• 页数：5
• 文件大小：1077k
• 原文格式：D
• 会议级别：全国

摘要

针对抗燃油管路布置主要依据传统经验,没有规范可供参考这一问题,本文提出了一种将基于特征线法的管路系统仿真和遗传算法相结合实现管路长度和管径优化选择的设计方法。文中简要说明了特征线法和遗传算法的计算原理,并结合实际构造模型进行了仿真实验。结果表明,优化后的管道系统,在阀门突然打开的情况下,系统节点最大压头值降低,压头变化幅度减小,系统受到的冲击显著减弱,从而保证了管路系统的安全性能,可以为实际现场中管道参数的设置提供参考。
For fuel piping system arrangement is mainly based on the traditional experience and there is no standard specification for reference, this paper presents a design method which combines the simulation of pipeline system based on the method of characteristics(MOC) and genetic algorithm(GA) to implement the optimization of the pipe length and diameter. This paper illustrates the principle of MOC and GA briefly, and carries out simulation experiment based on the model. The results show that under the condition of sudden opening of the valve, the maximum pressure head is reduced, the pressure head changes smoothly and the water hammer is decreased significantly when using the GA to optimize the pipeline system. So the safety of the pipeline system is ensured and this provides an important reference for pipeline parameter setting in actual conditions.

引文

[1]Rejowski R,Pinto J M.Scheduling of a multiproduct pipeline system,Computers Chemical Engineering,2003,27(8):1229-1246.
    [2]Wylie B.,Streeter V.Fluid Transients,McGraw-Hill International Book Co,1978,17-30.
    [3]吴宏,胡肖肖.应用特征线法求解航空发动机瞬态空气系统,航空动力学报,2013,9:2003-2008.
    [4]Shin H,Joo C,Koo J.Optimal Rehabilitation Model for Water Pipeline Systems with Genetic Algorithm,Procedia Engineering,2016,154:384-390.
    [5]Afshar M H,Rohani M.Water hammer simulation by implicit method of characteristic,International Journal of Pressure vessels and piping,2008,85(12):851-859.
    [6]M.Hanif Chaudhry.Applied Hydraulic Transients,Springer,2013,9:66-109.
    [7]Kim S H.Impulse response method for pipeline systems equipped with water hammer protection devices,Journal of Hydraulic Engineering,2008,134(7):961-969.
    [8]Hempel J,Lindgren O.Development of a two-way fluidstructure interaction model for pipe system analysis,Chalmers,2013,6:12-15.
    [9]许贤良,韦文术.液压缸及其设计,国防工业出版社,2011,8:20-24.
    [10]Ribas P C,Yamamoto L,Polli H L,et al.A microgenetic algorithm for multi-objective scheduling of a real world pipeline network,Engineering Applications of Artificial Intelligence,2013,26(1):302-313.
    [11]de Lucena,Rodrigo Ribeiro,et al.Optimal design of submarine pipeline routes by genetic algorithm with different constraint handling techniques,Advances in Engineering Software,2014,76:110-124.
    [12]Abe K,Higashimori N,Kubo M,et al.A remark on the Courant-Friedrichs-Lewy Condition in finite difference approach to PDE's,Advances in Applied Mathematics and Mechanics,2014,6(05):693-698.