基于改进遗传算法的管道阴极保护系统辅助阳极位置优化

Optimization of Buried Cathodic Protection Auxiliary Anode Configuration Based on Improved Genetic Algorithm

有效配置阴极保护系统阳极可减小管道腐蚀速率,目前多采用经验评估法,比较耗时。辅助阳极的数量、埋设位置以及土壤电阻率等都会影响管道阴极保护效果。针对阳极位置优化问题,在已有管道边界元模型(BEM)基础上,利用改进遗传算法(GA)对阳极埋设位置进行优化,根据其优化结果,利用COMSOL Multiphysics仿真软件对管道阴极保护系统进行三维建模,得到埋地管道沿线电位分布图,最后利用现场实测数据对比分析软件仿真结果得到相同的结果,因此该改进遗传算法优化的阳极埋设位置可以为现场工程施工提供理论基础。

Effectively configuring the anode of the cathodic protection system could reduce the corrosion rate of the pipeline. Most of the current empirical methods consumed too more time. In addition,the number of auxiliary anodes,the buried position and the soil resistivity also affected the cathodic protection effect of the pipeline. In term of the optimization of anode position,based on the existing pipeline boundary element model( BEM),the improved genetic algorithm( GA) was used to optimize the anode buried position. According to the optimization results,the three-dimensional modeling of the pipeline cathodic protection system was carried out by using COMSOL Multiphysics simulation software to obtain the potential distribution map along the buried pipeline. Finally,the same potential distribution map was obtained by using the field test data to compare the software simulation results,which indicated that the anode burying location optimized by improved genetic algorithm could provide a theoretical basis for on-site construction.