Limit Pressure Prediction for Steel Pipeline with Corrosion Defects Based on BP Neural Network
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。
Abstract
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.
中图分类号 TE973.1 DOI 10.11973/fsyfh-201808013
所属栏目 应用技术
基金项目 中石油工程设计有限责任公司科学研究项目(CPEBF-2014-02)
收稿日期 2016/11/6
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引用该论文: QIN Shuyong,DAI Qing,GUO Hongyan. Limit Pressure Prediction for Steel Pipeline with Corrosion Defects Based on BP Neural Network[J]. Corrosion & Protection, 2018, 39(8): 634
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参考文献
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【3】王禹钦,王维斌,冯庆善. 腐蚀管道的剩余强度评价[J]. 腐蚀与防护,2008,29(1):28-31.
【4】ZHU X K,LEIS B N. Evaluation of burst pressure prediction models for line pipes[J]. International Journal of Pressure Vessels & Piping,2012,89(1):85-97.
【5】MA B,SHUAI J,LIU D,et al. Assessment on failure pressure of high strength pipeline with corrosion defects[J]. Engineering Failure Analysis,2013,32(9):209-219.
【6】苏晨亮,李昕,周晶. 轴向腐蚀缺陷宽度对管道极限内压荷载的影响[J]. 油气储运,2014(7):723-728.
【7】YEOM K J,LEE Y K,OH K H,et al. Integrity assessment of a corroded API X70 pipe with a single defect by burst pressure analysis[J]. Engineering Failure Analysis,2015,57:553-561.
【8】杨专钊,刘道新,张晓化. 含半球形腐蚀缺陷钢管剩余强度的有限元分析[J]. 腐蚀科学与防护技术,2013(4):281-286.
【9】戴乾生,汪玉春,殷平. 正交试验设计在管道扩建优化设计中的应用[J]. 天然气工业,2011,31(8):90-93.
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