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Study On The Intelligent Evaluate System Of The Security Of Cavern-foundation Which In The Protected Areas Of Subway Tunnel

Posted on:2010-10-16Degree:MasterType:Thesis
Country:ChinaCandidate:X WangFull Text:PDF
GTID:2132360275474222Subject:Bridge and tunnel project
Abstract/Summary:PDF Full Text Request
With the development of urban rail transit, subway tunnels and building foundations will inevitably conflict. Although both of the the Ministry of Construction and local government set 50m protected area of the subway tunnel, but there will be a lot of conflicts because of the needs of urban construction. The tunnels in the protected area with the foundations to form a complex cavern-foundation.At present, the main way to evaluate the cavern-foundation is numerical analysis, each problems needs a separate calculation. With the development of rail transportation, it is a time-consuming and laborious way.It is inefficiency for similar problems. Based on the 1st subway of Chongqing, combined with Artificial Intelligence to establish the intelligent evaluate System of the security of cavern-foundation. In this paper, the main work and the results are as follows:①Researched on the 1st subway of Chongqing, sum up the Geological situation,the design and construction situation; Investigated the situation of the cavern-foundation on the subway line;②Studied on got the load range with no effect between tunnels with different cross-section and the constructions with different load. Studied on the save effect range of tunnels and the constructions which effected by each other and got the save effect range.③Based on the research results of peoples, Made the evaluation standard for the cavern-foundation problems on the subway line;④Established the architecture of the evaluate system.Chose the inputs and target parameters.Made the training plan with the uniform design way and established the training sample sets.Made the BP neural network model and established the evaluation system.⑤Tseted the syatem by example,the results basicly line with the actual situation.
Keywords/Search Tags:Protected Area of the Subway Tunnel, Caverrn-Foundation, Security Svaluation Standard, BP Neural Network
PDF Full Text Request
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