Abstract：The feedback analysis of underground powerhouse caverns excavation of large-scale hydropower stations attracts more and more attention recently. The effective feedback analysis method is very crucial to such problem. A direct solution scheme based on artificial neural network(ANN) is suggested considering that the feedback analysis is virtually a constrained optimization problem. It mainly consists of analyzing the structure numerically to build the constraints and obtaining the input parameters by ANN to fulfill the objective function. The steps of this method are also illustrated in detail，from which can find that the method is simple but universal. The ANN based feedback analysis method can avoid the deficiency of the traditional mathematical programming and improve the effectiveness and the convergence of feedback analysis. Taking the underground powerhouse caverns excavation of Xiluodu hydropower station in China for example，the fast Lagrangian analysis of continua，FLAC3D，is used to establish the ANN based feedback analysis system. The feedback analysis with the monitoring deformation data during excavation is conducted. The surrounding rock displacements obtained by feedback analysis agree with the measured displacements. The predicted deformations and stresses of caverns and the loads on the supporting structures in the next excavation are also reasonable. These not only help to evaluate the stability of the powerhouse caverns of Xiluodu hydropower station but also show that the method proposed is valid and applicable for complex monitoring feedback analysis problems；and the method may get extensive application in engineering.
李沃钊，李仲奎. 监测反馈分析在二滩地下厂房施工中的应用[J]. 水电站设计，1999，15(1)：66-72.(LI Wozhao，LI Zhongkui. Application of feedback analysis in construction of Ertan underground powerhouse[J]. Design of Hydroelectric Power Station，1999，15(1)：66-72.(in Chinese))
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2010, Vol. 29 
