• CN:11-2187/TH
  • ISSN:0577-6686

›› 2004, Vol. 40 ›› Issue (2): 136-140.

• 论文 • 上一篇    下一篇

扫码分享

Monte-Carlo法计算含缺陷油气输送管线的失效概率

董玉华;余大涛;高惠临   

  1. 石油大学机电工程学院;中油集团公司管材研究所;西安石油大学
  • 发布日期:2004-02-15

ESTIMATION OF FAILURE PROBABILITY OF OIL AND GAS PIPELINE WITH DEFECTS BY MONTE-CARLO SIMULATION

Dong Yuhua;Yu Datao;Gao Huilin   

  1. Beijing University of Petroleum Tubular Goods of Research Center, CNPC) Xi’an Petroleum Institute
  • Published:2004-02-15

摘要: 利用Monte-Carlo方法全面分析了裂纹深度、裂纹深长比、断裂韧度、屈服强度和输送压力等主要随机参数对含裂纹长输油气管线结构的失效概率的影响。利用故障树分析中的参数敏感性方法确定了随机参数的敏感性。计算结果表明,断裂韧度和裂纹深度对结构的失效概率影响较大,裂纹深长比对结构的失效概率也有重要影响。此外,还分析了焊接接头在不同的裂纹深度下,强度匹配对失效概率的影响,并还给出了管线在不同的失效模式下的年失效概率。

关键词: 强度匹配, 失效模式, Monte-Carlo方法, 管线, 敏感性分析, 失效概率, 产品质量, 信息物理系统, 在线管控

Abstract: Monte-Carlo sampling technique is employed to investigate relationship among random variables such as crack depth, ratio of crack depth to length, fracture toughness, yield strength, transmission pressure and failure probability of oil and gas pipeline with defects. And criticality importance analysis of fault tree analysis is used to evaluate sensitivity of the random variables. The results show that the fracture toughness and crack depth have significant effect on failure probability of pipeline, as well as the ratio of crack depth to length. In addition, the influence of strength-mismatched factor of welded joint is considered. And annual failure probabilities of different failure modes are evaluated.

Key words: Failure mode, Failure probability, Monte-Carlo sampling technique, Pipeline, Sensitivity analysis, Strength match, Cyber-Physical System Models, Online Monitoring and Control, Product Quality

中图分类号: