基于分形理论的核动力管道腐蚀坑深度预测模型研究

Corrosion Pit Depth Prediction Model of Nuclear Power Pipeline Using Fractal Theory

  • 摘要: 针对核动力管道腐蚀环境的复杂性和腐蚀过程的随机性,利用分形理论,建立了腐蚀坑深度预测模型,通过模型对核动力管道的最大腐蚀坑深度和不大于允许腐蚀深度rd的概率进行了预测研究。为进一步提高预测精度,对非线性方程进行了线性化处理。计算结果证明,利用分形理论对腐蚀坑深度进行预测是可行的,同时通过对核动力管道的最大腐蚀坑深度的预测,对分析腐蚀管道的可靠性和安全性及了解核动力管道的性能具有一定的意义。

     

    Abstract: Because of the complexity of corrosion environment and stochastic corrosion process of nuclear power pipeline, a prediction model of corrosion pit depth was established based on fractal theory, and the model was used to predict the maximum corrosion pit depth and the probability of depth no more than rd. In order to improve the precision, the nonlinear equation was linearized in the prediction process. The calculated results indicate that using fractal prediction model to predict the corrosion pit depth is feasible, and the prediction results are helpful for analyzing the reliability and security of corrosion pipeline, and mastering the performance of corrosion pipeline.

     

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