摘要
基于非线性有限元法,建立了含腐蚀缺陷管道极限压力计算的数值模型,并使用现有试验数据验证模型的准确性。根据正交试验组合,综合考虑管径,壁厚,腐蚀缺陷深度、长度、宽度对管道极限压力的影响,并在此基础上给出了基于BP神经网络预测含腐蚀缺陷管道极限压力的方法。最终通过与实际工况参数结果对比表明,该方法的预测结果具有较高的准确性。
Based on the nonlinear finite element method,a numerical model for calculating the limit pressure of a pipeline with corrosion defects was established,and the accuracy of the method was verified using existing experimental data.According to orthogonal test combination,the effects of pipe diameter,wall thickness,depth,length and width of corrosion defects on the limit pressure of the pipeline were comprehensively considered.Based on this,the method for predicting limit pressure of pipeline with corrosion defects based on BP neural network was given.Finally,it was shown that the predicted results were highly accurate compared with the results from the actual operating parameters.
作者
青树勇
代卿
郭鸿雁
QIN Shuyong;DAI Qing;GUO Hongyan(Beijing Branch Company,China Petroleum Engineering Co.,Ltd.,Beijing 100083,China;Southwest Branch Company,China Petroleum Engineering Co.,Ltd.,Chengdu 610017,Chin)
出处
《腐蚀与防护》
CAS
北大核心
2018年第8期634-637,共4页
Corrosion & Protection
基金
中石油工程设计有限责任公司科学研究项目(CPEBF-2014-02)
关键词
腐蚀管道
非线性有限元分析
正交试验法
人工神经网络
极限压力预测
corroded pipeline
finite dement analysis
orthogonal testing method
artificial neural network
limitpressure prediction
