琅琊山抽水蓄能电站地下厂房 开挖位移的智能反演

 基于正交设计、差分法、神经网络以及遗传算法，对琅琊山抽水蓄能电站地下厂房的开挖位移进行智能反演。参考实测的地质资料，按照正交设计的要求对岩石和岩脉分别选取不同的参数和水平，利用FLAC3D差分程序计算得到相应的神经网络分析样本；进行神经网络训练，利用遗传算法的寻优特性获取最佳反演参数；将所得参数代入FLAC3D差分程序计算，最后所得结果与现场监测基本吻合。

INTELLIGENT INVERSION OF EXCAVATION DISPLACEMENT FOR UNDERGROUND POWER-HOUSE OF LANGYASHAN PUMPED-STORAGE POWER STATION

Based on orthogonal design，difference method，neural networks and genetic algorithms，the intelligent inversion is performed for the excavation displacement of underground powerhouse of Langyashan pumped- storage power station. Referring to the geological data，the different parameters and levels are chosen for rock and dike according to orthogonal design. The related analytical samples for neural networks are given by FLAC3D calculation. Through training the neural network with samples，the optimized inversion parameters are obtained by seeking for the optimum of genetic algorithms. The obtained parameters are used to calculate by FLAC3D and the results agree well with the in-situ measurement data.