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Displacement Back Analysis Based On Neural Networks In Applied Research, The Analysis Of Tunnel Stability

Posted on:2004-01-08Degree:MasterType:Thesis
Country:ChinaCandidate:Y B BaiFull Text:PDF
GTID:2191360095951389Subject:Mining engineering
Abstract/Summary:PDF Full Text Request
The stability of tunnelling engineering rock wall-timber system is a comprehensive index which reflects geologic environment N supporting structure and construction method of tunnel, so generally applied and definitely and practically effective prediction technology of tunnelling engineering stability analysis is not an application of a special subject theory method or experienced knowledge and technique of some specialty, it must be a comprehensive engineering technology which synthetically considers many kinds of engineering factors(technical ^ economical temporal). Therefore, based on the former work , the author of this paper has done some valuables significative research for the predictive technology of tunnel stability analysis, the research syncretizes knowledge of several subject fields, the major work is to develop classification of engineering rock mass which is the academic basis of program BMP84A through adopting Neural Network(NN), based on this work, to extend and to develop program BMP84A by adopting programming language.Firstly, on the basis of ((Anchor-bar and spraying concrete timbering design criterion)) (GBJ86-85), this paper distills major factors which effect classification of engineering rock mass and then quantifies these factors, afterward establishes Neural Network(NN) of engineering rock mass classification which adopts programming language-Matlab, and testifies it through utilizing practical engineering.Secondly, based on debugging program BMP84A successfully, this paper adopting object-oriented program桪elphi and basic programming language桭ortran extends and develops program BMP84A which is a displacement back analysis program of Boundary Element method, and then gets a new program-BMP. Through the author's effort, program BMP has the function of fore analysis and back analysis to the tunnel rock wall, it changes into a relatively perfect system.Additionally, this paper classifies the rock wall of Lu Bu Ge Hydroelectric station adopting established NN, and then utilizing program BMP does displacement back analysis and stability fore analysis for Lu Bu Ge Hydroelectric station, lastly, compares the results with the project fact and other experts' analysis results.Lastly, based on the above research, this paper gets a rapid method of stability analysis of tunnel rock wall which is fit for modern information construction.
Keywords/Search Tags:Stability of tunnel rock wall Classification of engineering rock mass, Neural Network(NN), Displacement back analysis of Boundary Element method, Fore analysis of Boundary Element method
PDF Full Text Request
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