Multi-objective optimization of fire monitor nozzle based on RBF model
SHI Zhefu1, XUE Lin2, LI Hong1, XIANG Qingjiang1
1.National Research Center of Pumps, Jiangsu University, Zhenjiang, Jiangsu 212013, China; 2.Shanghai Fire Research Institute of MPS, Shanghai 200438, China
Abstract：In order to improve the range of fire monitor, multi-objective optimization is carried out based on PSKDY40 fire monitor. First, the throat diameter, length and the contraction angle of nozzle are selected as design variables. The lowest turbulent kinetic energy and the highest average velocity at the outlet are taken as objectives. Then, combined with optimal Latin hypercube designs and numerical simulations, a RBF model is established. Finally, multi-objective optimization of the water channel in a fire monitor nozzle is performed with NSGA-II algorithm, and the Pareto optimal solution sets are obtained. It is shown that the RBF model is with high fitting accuracy can significantly improve the optimization efficiency for fire monitor nozzles. Moreover, the throat diameter exhibits the highest influence on fire monitor nozzle performance in the three variables. The optimized results suggest that the two objectives are better than those of the original model.
施哲夫, 薛林, 李红, 向清江. 基于RBF模型的消防水炮炮头多目标优化[J]. 排灌机械工程学报, 2016, 34(7): 626-631.
SHI Zhefu, XUE Lin, LI Hong, XIANG Qingjiang. Multi-objective optimization of fire monitor nozzle based on RBF model. Journal of Drainage and Irrigation Machinery Engin, 2016, 34(7): 626-631.
[1]刘力涛,马振明. 消防水炮喷嘴喷射性能影响因素分析[J]. 能源研究与信息,2011,27(2):105-109. LIU Litao, MA Zhenming. Study on influencing factors of nozzle performance of the fire water monitor[J]. Energy research and information,2011,27(2):105-109.(in Chinese)[2]IYOGUN C O. Trajectory of liquid jets exposed to a low subsonic cross airflow[D]. Winnipeg:University of Manitoba,2005.[3]琚学振. 消防炮射流关键技术研究[D]. 哈尔滨:哈尔滨工业大学,2012.[4]谢志超. 基于CFD的消防水炮水力性能研究[D]. 哈尔滨:哈尔滨工程大学, 2012.[5]KIM K Y. Multi-objective optimization of a passive micromixer based on periodic variation of velocity profile[J]. Chemical engineering communications, 2015, 202(3):322-331.[6]向清江,施哲夫,李红,等. 远射程消防水炮流道内3种稳流器的对比[J]. 排灌机械工程学报,2015,33(3):233-238. XIANG Qingjiang, SHI Zhefu, LI Hong, et al. Comparative analysis of three types of straightener in long range firefighting water cannon[J]. Journal of drainage and irrigation machinery engineering, 2015,33(3): 233-238.(in Chinese)[7]高云凯,张朋,吴锦妍,等. 基于Kriging模型的大客车侧翻安全性多目标优化[J]. 同济大学学报(自然科学版),2012,40(12):1882-1887. GAO Yunkai, ZHANG Peng, WU Jinyan, et al. Multi-objective optimization for bus rollover based on kriging model[J]. Journay of Tongji University(natural science),2012,40(12):1882-1887.(in Chinese)[8]刘晓路,陈英武,荆显荣,等. 优化拉丁方试验设计方法及其应用[J]. 国防科技大学学报,2011,35(5):73-77. LIU Xiaolu, CHEN Yingwu, JING Xianrong, et al. Optimized Latin hypercube sampling method and its application[J]. Journal of National University of Defense Technology, 2011,35(5):73-77.(in Chinese)[9]方开泰. 均匀设计与均匀设计表[M]. 北京:科学出版社,1994.[10]王万中. 试验的设计与分析[M]. 北京:高等教育出版社,2004:95-109.[11]吴明圣. 径向基神经网络和支持向量机的参数优化方法研究及应用[D].长沙:中南大学,2007[12]姜衡,管贻生,邱志成,等. 基于响应面法的立式加工中心动静态多目标优化[J]. 机械工程学报,2011,47(11):125-133. JIANG Heng, GUAN Yisheng, QIU Zhicheng, et al. Dynamic and static multi-objective optimization of a vertical machining center based on response surface method[J]. Journal of mechanical engineering,2011,47(11):125-133.(in Chinese)[13]FONSECA C M, FLEMING P J. An overview of evolutionary algorithms in multiobjective optimization[J]. Evolutionary computation, 1999, 3(1):1-16.
