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水电站压力管道混凝土裂缝对结构的安全影响重大,基于人工神经网络的BP网络方法和全局优化方法的基本理论,对钢衬钢筋混凝土压力管道外包混凝土结构裂缝预测进行了研究,提出了基于神经网络的管道混凝土裂缝预测模型。并重点研究了水头的变化对压力管道混凝土最大裂缝宽度的影响,最后对三峡电站压力管道混凝土结构裂缝进行了预测。
The concrete cracks in the pressure pipe of hydropower station have a great influence on the safety of the structure. Based on the BP network method of artificial neural network and the basic theory of the global optimization method, the prediction of the cracks in the concrete-filled steel-lined reinforced concrete pressure pipe outsourcing concrete structure has been studied and the neural network Prediction Model of Pipeline Concrete Cracks. The influence of head variation on the maximum crack width of concrete in pressure pipelines was studied emphatically. Finally, the cracks of concrete structures of pressure pipelines of Three Gorges Power Station were predicted.