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Structural Damage Detection of Unsaturated Soil Embankment Slope Based on Artificial Neural Network under the Rainfall Infiltration

机译:基于降雨渗透下人工神经网络的非饱和土堤坡面的结构损伤检测

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摘要

Based on BP neural network, simulation analysis of damage location and degree of unsaturated soil embankment slope under rainfall infiltration are made using finite element method. The simulation model is established by rainfall infiltration statistical characteristics as the main input vector. The results show that the artificial neural network can accurately identify the damage location and the damage degree of the slope.
机译:基于BP神经网络,利用有限元法制造了降雨渗透下不饱和土堤坡度的仿真区测量分析。仿真模型是通过降雨渗透统计特征作为主输入向量建立的。结果表明,人工神经网络可以准确地识别损伤位置和斜坡的损坏程度。

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