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| 预测腐蚀管道剩余强度的新方法 | |
| 引用本文： | 付道明,孙军,贺志刚,岑广远,喻西崇.预测腐蚀管道剩余强度的新方法[J].油气储运,2004,23(4):12-18. |
| 作者姓名： | 付道明 孙军 贺志刚 岑广远 喻西崇 |
| 作者单位： | 1. 塔里木油田分公司开发事业部 2. 北京安东奥尔工程技术有限责任公司 3. 中国科学院力学所 |
| 基金项目： | 国家高技术研究发展计划(863计划) |
| 摘 要： | 将BP神经网络和遗传算法相结合,得到了一种可计算腐蚀管道剩余强度和最大允许注水压力的新神经网络.通过实例分析,将7种常用规范和改进的遗传神经网络方法进行了比较.结果表明,不同计算方法得到的剩余强度和最大允许注水压力相差较大,Wes 2805-97规范、ASMEB31G规范、CVDA-84规范、Irwin断裂力学方法等都比J积分方法的剩余强度和最大允许注水压力偏大;Burdiken和DM断裂力学方法计算得到的剩余强度和最大允许注水压力比J积分偏小;J积分方法和基于J积分方法的改进遗传神经网络方法计算结果比较接近,比较适中,可以认为是计算管道剩余强度和最大允许注水压力较好的方法. |
| 关 键 词： | 腐蚀管道 剩余强度 BP神经网络 遗传算法 |
A New method to Predict Residual Strength of Corrosion Pipelines |
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| FU Daoming,SUN Jun et al.A New method to Predict Residual Strength of Corrosion Pipelines[J].Oil & Gas Storage and Transportation,2004,23(4):12-18. | |
| Authors: | FU Daoming SUN Jun |
| Abstract: | In this paper,common criterions about residual strength evaluation at home and abroad are generalized and seven methods are acquired,namely ASME-B31G,DM,Wes-2805-97,CVDA-84,Burdekin,Irwin and Jintegral methods. BP neural network is combined with Genetic Algorithm (GA) named by modified BPGA methods to successfully predict residual strength and critical pressure of injecting corrosion pipelines.Examples are shown that calculation results of every kind of method have great difference and calculating values of Wes-2805-97 criterion ASME-B31G criterion, CVDA-84 criterion and Irwin fracture mechanics model are conservative and higher than that of J integral methods while calculating values of Burdiken model and DM fracture mechanics model are dangerous and less than that of J integral methods and calculating values of modified BP-GA methods are close and moderate to that of J integral methods. Therefore modified BP-GA methods and J integral methods are considered better methods to calculate residual strength and critical pressure of injecting corrosion pipelines. |
| Keywords: | corrosion pipeline residual strength BP neural network genetic algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |