GA-BP Algorithm Based on Burst Pressure Prediction of Steam Generator Tubing

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GA-BP Algorithm Based on Burst Pressure Prediction of Steam Generator Tubing

更新时间：2025-07-09

- GA-BP Algorithm Based on Burst Pressure Prediction of Steam Generator Tubing
- Vol. 45, Issue 9, Pages: 84-89(2011)
- 作者机构：
  
  西安交通大学能源与动力工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TB302.3
- Online First：10 September 2011，
  
  Published：2011
- 稿件说明：
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GA-BP Algorithm Based on Burst Pressure Prediction of Steam Generator Tubing[J]. 2011, 45(9): 84-89.
DOI：

GA-BP Algorithm Based on Burst Pressure Prediction of Steam Generator Tubing[J]. 2011, 45(9): 84-89. DOI：

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.

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 geometric parameters of flaws on the burst pressure of SG tubes. The simulation results show that the depth of the flaw has the most detrimental effect on the burst pressure. The burst pressure decreases rapidly with the increase in the depth of the flaw

and the burst pressure drops more clearly with the increase in the length of the flaw when the wrap angle of the flaw is small. In addition

the burst pressure of the SG tube with a deeper flaw decreases more significantly with the increase in the wrap angle.

关键词

Keywords

references

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