| 含缺陷蒸汽发生器管道爆破压力预测的遗传-神经网络算法 |
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| 引用本文： | 艾波,胡军,张早校,程光旭.含缺陷蒸汽发生器管道爆破压力预测的遗传-神经网络算法[J].西安交通大学学报,2011,45(9):84-89. |
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| 作者姓名： | 艾波 胡军 张早校 程光旭 |
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| 作者单位： | 西安交通大学能源与动力工程学院,710049,西安 |
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| 基金项目： | 国家高技术研究发展计划资助项目(2009AA04Z402); 西安交通大学“211工程”三期资助项目 |
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| 摘 要： | 为了探讨体积型缺陷对蒸汽发生器传热管强度的影响,使用遗传-反向传播(GA-BP)算法建立了Inconel 690蒸汽发生器传热管爆破压力预测模型.利用遗传算法对误差反向传播神经网络(BP-ANN)的初始权值进行了优化,由此克服了BP网络收敛速度慢及易陷入局部极小的缺点;使用所建模型分析了管道缺陷的各类几何参数对爆破压力的影响.结果表明:蒸汽发生器传热管的缺陷深度对爆破压力的影响最大,爆破压力随着缺陷深度的增加迅速降低;当管道缺陷环向尺寸减小时,爆破压力随着缺陷轴向长度的增加而减小的趋势更加显著;管道缺陷越深,爆破压力随环向尺寸的增加而减小的趋势越明显.
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| 关 键 词： | 管道缺陷 蒸汽发生器传热管 爆破压力 遗传算法 反向传播算法 |
GA-BP Algorithm Based on Burst Pressure Prediction of Steam Generator Tubing |
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| AI Bo,HU Jun,ZHANG Zaoxiao,CHENG Guangxu.GA-BP Algorithm Based on Burst Pressure Prediction of Steam Generator Tubing[J].Journal of Xi'an Jiaotong University,2011,45(9):84-89. |
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| Authors: | AI Bo HU Jun ZHANG Zaoxiao CHENG Guangxu |
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| Institution: | (School of Energy and Power Engineering,Xi′an Jiaotong University,Xi′an 710049,China) |
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| Abstract: | In order to investigate the effect of flaws on the strength of steam generator(SG) tubes,a hybrid algorithm,GA-BP algorithm,was developed to establish a general model for predicting the burst pressure of Inconel 690 SG tubes.The genetic algorithm(GA) was used to initialize the weights of the back propagation artificial neural network(BP-ANN) to overcome the shortcomings of the BP algorithm such as slow convergence speed and local minimum.The model established was applied to explore the effect of the geometr... |
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| Keywords: | flaw steam generator tube burst pressure genetic algorithm back propagation algorithm |
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