摘要
采用鲸鱼优化算法(WOA)求解石油管道泄漏模型,得出泄漏孔径大小和泄漏位置。考虑到管道泄漏时流体流态会发生改变,对切应力进行修正,得出更准确的石油管道泄漏模型,之后使用特征线法求解;根据泄漏定位原理建立石油管道泄漏定位模型;然后使用鲸鱼优化算法求解,并将不同泄漏工况下的求解结果与遗传算法(GA)和粒子群算法(PSO)求解结果对比。结果表明:切应力修正后的石油管道泄漏模型沿程压力最大相对误差为1.02%,流速最大相对误差为3.84%;在不同泄漏工况下,鲸鱼优化算法定位误差在1%以内,泄漏孔径误差在15%左右,比其他2种算法更准确,且适应性良好。
The Whale Optimization Algorithm(WOA)is then used to solve the model and determine the size and location of the leak holes.Initially,considering that the fluid flow state will change when the pipeline leaks,the shear stress is correct to obtain a more accurate oil pipeline leakage model,and then the characteristic line method is used to solve the problem.Subsequently,based on the principles of leak localization,the localization problem is transformed into an optimization problem,and develop an oil pipeline leak localization model.The WOA is then utilized to solve the oil pipeline leak model,and the results obtained under different leak conditions were compared with those obtained using Genetic Algorithm(GA)and Particle Swarm Optimization(PSO).The results show that the modified oil pipeline leak model was accurate,with a maximum relative error of 1.02%in the pressure distribution and 3.84%in the flow velocity distribution.Under different leak conditions,the WOA demonstrated localization errors within 1%and leak hole size errors of about 15%,which were more precise than the other two algorithms and exhibited good adaptability.
作者
罗威
袁锐波
陈有锦
朱正
唐世旭
胡启明
LUO Wei;YUAN Ruibo;CHEN Youjin;ZHU Zheng;TANG Shixu;HU Qiming(Faculty of Mechanical&Electrical Engineering,Kunming University of Science and Technology,Kunming 650504,China;Marine Oil Production Plant,Sinopec Shengli Oilfield Company,Dongying 257237,China)
出处
《重庆理工大学学报（自然科学）》
北大核心
2023年第9期302-311,共10页
Journal of Chongqing University of Technology：Natural Science
关键词
石油管道
切应力修正
鲸鱼优化算法
泄漏定位
oil pipeline
shear stress correction
whale optimization algorithm
leakage location
作者简介
罗威,男,硕士研究生,主要从事管道内流体特性研究,E-mail:luo3607@126.com;通信作者:袁锐波,男,博士,教授,主要从事流体传动与控制研究,E-mail:22911979@qq.com。
