管道智能封堵器锚爪结构的优化  

The optimization of the fluke structure of intelligent pipe plug

作　　者：耿岱[1] 张仕民[1] 王德国[1] 高建[1] 

机构地区：[1]中国石油大学(北京),北京102249

出　　处：《油气储运》2011年第4期279-282,296,共5页Oil & Gas Storage and Transportation

基　　金：国家863科技重大专项"轻便快捷管道抢修技术及装备研究";2008ZX05058

摘　　要：管内高压智能封堵技术是20世纪90年代由PSI公司发展起来的一项新型封堵技术,卡紧能力是封堵器的关键技术,由锁定锚爪完成。为了更好地设计锁定锚爪,使其与管壁之间能够产生有效的卡紧力,需要对其结构进行优化。利用神经网络高度的非线性映射能力建立了锁定锚爪角度、锁定锚爪连接厚度、锁定锚爪间距、锁定锚爪整体倾角、锁定锚爪曲率半径间的函数关系;利用遗传算法的全局寻优能力求解由该函数作为目标函数的优化问题,从而获得锁定锚爪与管道间接触力最大的几个主要因素的最优搭配。优化结果表明:优化后锚爪与管道间的接触力增加了87.81%,锁定锚爪整体性能显著提高。Intelligent plugging technique in high-pressure pipeline is a new plugging technique developed by PSI Company in 1990s.Chucking capability which is determined by locking fluke is the key technique for pipe plugging.In order to optimize the design of locking fluke for more effective chucking force,the structure optimization is desired.The paper presents the function relationship by utilizing the high nonlinear mapping capability of neural network regarded to the locking fluke angle,joint thickness,gap,inclination angel and curvature radius.Utilizing the global optimization feature of genetic algorithm to solve the abovementioned function,the optimized combination of the factors for affecting the contact force between fluke and pipe is obtained.The optimization result shows that the contact force is raised up to 87.81% compared with the structure before optimized design and the overall performance is significantly enhanced.

关 键 词：智能封堵器锚爪 结构优化 BP神经网络 遗传算法 

分 类 号：TE832[石油与天然气工程—油气储运工程]