李家峡拱坝坝体弹性模量及基岩变形模量的反演

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Abstract Three-dimensional finite element model of Lijiaxia Hydropower Station is established to monitor operation condition of the arch dam. Based on prototype observation data，an improved back propagation(BP) neural network is applied to calculate elastic modulus of arch concrete dam for Lijiaxia Hydropower Station and deformation modulus of its foundation. This method can provide precise parameters for the calculation of the model，and can make a precise evaluation on the safety condition of dam. It can also provide a new way to the back analysis of other physico-mechanical parameters.

Key words： hydraulic engineering arch dam elastic modulus deformation modulus back analysis back propagation(BP) neural network Lijiaxia Hydropower Station

Received: 23 July 2004

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https://rockmech.whrsm.ac.cn/EN/ OR https://rockmech.whrsm.ac.cn/EN/Y2005/V24/I24/4466

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