利用这一模型，研究了腐蚀速率、缺陷深度、管道壁厚和工作压力等因素对管线可靠性的影响。
The effects of corrosion rate, defect depth, thickness of pipe and operation pressure on pipeline reliability were investigated with this model.
实际应用表明：该模型大大提高了网络的学习效率和预测评判的精度，可以作为油气集输管道腐蚀速率预测的良好工具。
The results show that the model has a great efficiency of network learning and a high accuracy of prediction and judgement.
在腐蚀速率电化学模型和剩余强度评价的基础上，采用一定的预测步骤确定了不同腐蚀类型缺陷的剩余寿命。
The residual lives of corrosion defects of different types were got basing on the electrochemical models of the corrosion rates and residual strength evaluation.
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