| 含缺陷油气管线结构的可靠性计算 |
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| 引用本文： | 董玉华,高惠临,周敬恩,冯耀荣,霍春勇.含缺陷油气管线结构的可靠性计算[J].石油学报,2003,24(1):96-99. |
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| 作者姓名： | 董玉华 高惠临 周敬恩 冯耀荣 霍春勇 |
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| 作者单位： | 1. 西安交通大学材料学院, 陕西西安, 710049;2. 西安石油学院, 陕西西安, 710065;3. 中国石油天然气集团公司石油管材研究所, 陕西西安, 710065 |
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| 基金项目： | 中国石油天然气集团公司中青年创新基金项目 ( 2 0 0 1CX37) |
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| 摘 要： | 介绍了有关计算含缺陷结构可靠性的一种方法--一次二阶矩可靠性方法,并给出了一个含腐蚀缺陷油气管线结构可靠性计算的实例.计算结果表明,一次二阶矩可靠性方法与常规Monte-Carlo方法相比,只须迭代6次就可求得所需的可靠度β,计算效率很高,计算结果可精确到0.0001.此外,根据结构的动态失效模型还可以确定油气管线结构在不同时期的可靠度以及结构的有效剩余寿命.
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| 关 键 词： | 缺陷 可靠度 一次二阶矩方法 随机变量 动态模型 |
| 文章编号： | 0253-2697(2003)01-0096-04 |
| 收稿时间： | 2001-8-28 |
| 修稿时间： | 2001年8月28日 |
Reliability estimation of oil and gas pipelines with some defects |
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| DONG Yu_hua,GAO Hui_lin,ZHOU Jing_en,FENG Yao_rong,HUO Chun_yong.Reliability estimation of oil and gas pipelines with some defects[J].Acta Petrolei Sinica,2003,24(1):96-99. |
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| Authors: | DONG Yu_hua GAO Hui_lin ZHOU Jing_en FENG Yao_rong HUO Chun_yong |
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| Affiliation: | 1. Material Science and Engineering Institute of Xi'an Jiaotong Uneversity, Xi'an 710049, China;2. Xi'an Petroleum Institute, Xi'an 710065, China;3. Tubular Goods Research Center, CNPC, Xi'an 710065, China |
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| Abstract: | The first order and second moment reliability method for estimating reliability of the mechanical structures with some defects was concisely reviewed.This method defines that the structural reliability index is the shortest distance from the origin to the failure surface in a standard normal coordinate system. An example about reliability estimation of oil and gas pipelines with corrosion defects was given.The results show that the reliability index can be achieved by this method only being iterated for six times.Compared with the Monte-Carlo simulation method,it has a high efficiency and the accuracy of 0.01%. Furthermore,the reliability at different periods and the effective remaining life of oil and gas pipelines could also be determined with the dynamic failure model of structure. |
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| Keywords: | oil and gas pipeline defect reliability first order and second moment reliability method stochastic variables dynamic model |
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