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Surround Rock Mass DBA Intelligent Grey Predition And Application Of Fuzzy Classified In Tunnel

Posted on:2006-08-04Degree:MasterType:Thesis
Country:ChinaCandidate:G H TangFull Text:PDF
GTID:2132360182955039Subject:Mining engineering
Abstract/Summary:PDF Full Text Request
Inverse analysis of tunnel surround rock mass displacement the method of that utilizes examine scene examine displacement is it push away mechanics characteristic and geological parameter of the primitive project area —The analytical methods of mechanics characteristic parameter , initial crustal stress in the project area ,etc. Tunnel T lining construction course of various surround tunnel a heavy difficult problem been faced by engineers. With the increase of the proportion and degree of difficulty of the tunnel project in the whole highway construction, in geotechnical questions, especially with the improvement of big mechanized and automatic construction technology, the new geotechnical questions have appeared , are changed into moving simulation dynamically from the mechanics problem of classical rock, in order to solve these new problem, this paper proposes the studies of the displacement inverse analyses and fuzzily classifies and the surround rock intelligently and predict out of shape greyly.In the face of the question that " the limited data " of the tunnel surround rock , not only the basic parameter is very difficult to provide accurately about the calculates model, but also is few to evolution in non-linear surround rock deform course offer information of feedback or can correct measurement of model. At the same time, prediction the trend and law of shape of surround rock has very great uncertainty. under the situation that the mechanism of destruction to rock mass can't still be understood clearly, The study of this paper is setting up trends, unconfirmed in the environment, which require judgment and deal with various kinds of rock-soil project problems appearing at any time. According to the question appearing is uncertainty in the geotechenics, while utilizes the displacement inverse analytic approach to perform and calculate. We want to adopt BP neural network and fuzzy comprehensive appraisal and grey model to deal with the data, have stronger practicability and logical in order to enable performing the parameter.The main research contents of this paper and achievement:1. the elasticity-plasticity shown in initial excavate stage to the surround rock, adopted the simple mechanics model, considered various kinds of " equivalent parameters " for various kinds of geology and project factors inverse analysis initial stage , look for the law for the surround rock shape.2. Stress distribute again with initial stage in surround rock, want to overall consider the time effect of the rock in displacement inverse analysis, set up the model of calculation taking elasticity as characteristic, and according to Alhey-Mchenry theorem, loading can't produce stress distribute again on utilizing and playing and mounding the foundation analysis, confirm that props up continuously, carry on the fitting of parameter of surround rock shape of the tunnel protecting in time.3. The dynamic stress parameter method of rock mass is set up, we simulates in the tunnel rock mass construction process disturbs under the load function, instead calculates causes various crags character condition parameter which Roof sinks and restrains, and instructs the design construction..4. Judging fuzzily synthetically the method and project practical experience, setting up surround rock attitude parameter influenced and under the jurisdiction of degree of function and miniature database the surround rock of shapes, offer guidance for the fact that confirm the surround rock and prop up the classification of protecting and guarantee construction's security.
Keywords/Search Tags:inverse analysis, the limit data, the attitude parameter, intelligentize forecast, classify fuzzily
PDF Full Text Request
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