Back Analysis of Mechanical Parameters of Arch Dam Using an Improved BP Neural Network Algorithm
Publish place: 8th National Congress On Civil Engineering
Publish Year: 1393
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
NCCE08_0221
تاریخ نمایه سازی: 5 مهر 1393
Abstract:
The backpropagation (BP) neural network algorithm was improved and applied to construct a back analysis model for the study of the mechanical parameters of an arch dam. Samples were obtained from forward analysis using the three dimensional finite element method. The obtained samples were then used totrain the network, and the measured displacements were applied to invert the mechanical parameters. The exact mechanical parameters were calculated and analysed according to the back analysis of parameters. Computational results agree well for some blocks with the measured values, indicating compliance withengineering requirements. Furthermore, the BP neural network algorithm has convergence and corresponds to dam's natural behavior. The results show that the improved BP neural network algorithm and threedimensionalfinite element method are feasible techniques for inverting the thermal parameters of arch dams
Keywords:
improved BP neural network algorithm , three dimensional finite element method , displacement , back analysis , mechanical parameter
Authors
Fayaz asghari
Master of Hydraulic Structure Engineering Department of Civil Engineering, K.N.Toosi University of Technology, Tehran
Hasan Mirzabozorg
Associate Professor faculty of Civil Engineering, Structure Department, K.N.Toosi University of Technology, Tehran