Research On The Intelligent Back Analysis Of Surrounding Rock Based On PSO-BP Optimization Algorithm

:How to obtain the accurate mechanical parameters of tunnel surrounding rock through there latively simple methods, is the active research topic for the modern scientific and technological workers and engineering and technical personnel of the tunnel. Back-analysis is better one way to gain the parameters of rock mechanics. This paper proposed a hybrid algorithm with BP neural network and PSO optimization algorithm and developed a tunnel rock parameter anti-analysis system in the ASP.NET platform smart anti-tunnel rock parameter analysis system combined the Wudaoliang tunnel project.Specific work includes the following three aspects:(1) Introduces the BP neural network and particle swarm (PSO) algorithm to optimize the basic theory, the use of PSO algorithm for global optimization ability weights and thresholds to optimize BP neural network, and on the use of neural networks MATLAB toolbox function and M language programming, and finally the use of common test functions for PSO algorithm optimization capabilities were tested.(2) The use of the second chapter PSO-BP algorithm prepared using the Microsoft ASP.NET platform. NET and MATLAB mixed programming theory developed anti-parameter analysis of tunnel surrounding intelligent Web-based way system, project management, monitoring data Entry, regression analysis, parameter inversion function, a good system interface, easy to operate, able to play a counter-analysis to promote the role of rock parameters.(3) Combined Wudaoliang tunnel scene, neural network learning and test samples was constructed using orthogonal design and uniform design, rock surrounding parameters of DK236+650sections of Wudaoliang Tunnel was the use calculated using the tunnel rock surrounding parameters intelligent anti-analysis system, and the results were analyzed. Finally, tunneling displacement was calculated with the FLAC3D positive analysis procedures using the calculated parameters, and the calculated results with the measured results were compared and analyzed.