Research on mechanical parameters back analysis of concrete dam based on orthogonal design and BP neural network

Su ZHAO , Jun LI , Xiaoqiong ZHU

Water Resources and Hydropower Engineering ›› 2025, Vol. 56 ›› Issue (S2) : 136 -143.

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Water Resources and Hydropower Engineering ›› 2025, Vol. 56 ›› Issue (S2) :136 -143. DOI: 10.13928/j.cnki.wrahe.2025.S2.029
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Research on mechanical parameters back analysis of concrete dam based on orthogonal design and BP neural network
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Abstract

Based on the back analysis of concrete dam mechanical parameters by using traditional neural network model, the BP neural network model is combined with orthogonal experiment design theory, the back analysis model of concrete dam mechanical parameters is optimized. By building a three-dimensional finite element model, the parameters of concrete and bedrock are calculated based on the arch dam and its deformation monitoring data by the back analysis. The calculation result is close to the design value and has a certain degree of improvement. Finally, the back analysis result are taken as the input of the finite element model, and the reliability of the calculation result is verified by the output result. It is proved that the optimized method improves the efficiency and accuracy of the neural network model.

Keywords

concrete dam / back analysis / orthogonal design / neural network

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Su ZHAO, Jun LI, Xiaoqiong ZHU. Research on mechanical parameters back analysis of concrete dam based on orthogonal design and BP neural network. Water Resources and Hydropower Engineering, 2025, 56(S2): 136-143 DOI:10.13928/j.cnki.wrahe.2025.S2.029

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