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The Chaotic Character On Distribution Prinple Of Structural Surface Of Rock Mass And Predicting To Classification Of Wall Rock In Tsingling Tunnel Of Xikang Railway

Posted on:2010-05-11Degree:DoctorType:Dissertation
Country:ChinaCandidate:G X YuFull Text:PDF
GTID:1102360275963236Subject:Road and Railway Engineering
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The guiding engineering for the regional geology,complicated environmental situation,rock mass structural planes,and space pattern evaluation and surveying of the Qinling Extra-Long Tunnel of the Xi'an-Ankang Railroad is an important factor in design and construction safety.The basic classification of the surrounding rock of a railroad is determined by rock hardness and the crushing degree of rock mass,which is directly related to the distribution and development of its structural planes.The structural plane of the rock is the product of a complicated tectonic process,which has the characteristics of a non-linear distribution.This paper uses the non-linear system science of chaos theory to research the non-linear spatial distribution patterns of the Qinling Tunnel area structural planes and construct a model of chaos.Advancement will be made beginning from the chaos characteristics of structural planes and the utilization of data to develop new surveying methods for the rock masses in the Qinling Tunnel area.(1) The structural series was constructed using the concept of time series analysis.In order to satisfy distance requirements such as time series,we formed an arrangement from surveys of the structural plane distances.From this,we could construct the structural plane dipdirect and rake series.From the combination of these three series we could determine the spatial orientation,dipdirect and rake of the structural plane.Using non-linear research methods including chaos theory,we studied the characteristics of the structural plan series and its structural formation.(2)Using surveying as the basis of our data,we utilized the non-linear science of chaos theory to research the characteristics of spatial distribution within the structural plane.The phenomenon of the existence of low frequency negative power within the power spectrum,the existence of the relationship between structural plane development and faults,and the phenomenon of the Kolmogoroc entropy structural plane distribution fractal environment greater than 0 all explain the existence of chaotic distribution within the structural plane.The Lyapunov index that tends towards 1,the principal component graded analysis,the appearance of the power spectrum and the disappearance of negative power also lead us to believe that the distribution of the structural plane is not completely chaotic,but is at the edge of chaos.(3) phase-space reconfiguration reveal the spatial distribution of non-linear law based on chaotic time series phase-space reconstruction theory.Using the CC method,the smallest methods of error prediction in the embedding dimension and delays the amount of space showing the distribution of the rock structure.Explicit embedding dimension of the is similar to the structure of the main rock face in the development of the average group number,and the main space delay structure is similar to the average interval between the chaos,such as the physical meaning of parameters.(4) Through the calculation of the amount of chaos in the structural plane,we establish the predicative chaos models for the structural plane locations and a chaotic occurrence predicted sequence structure prediction provides the basis for the decision to phase-space reconstruction of chaotic prediction method.The single-order local-region method algorithm is simple and easy to use,the sequence prediction accuracy not only depends on the embedded dimension of structure and spatial delay,it is also related to the closest related points,training sample size and estimations such as step size.(5) Based on the chaotic characteristics of the structural planes we predicted the surrounding rock mass classifications.Using the known classification of rock masses surrounding the structural planes as training samples,the structural plane samples as a prediction to the structure of the cutting weight density,the structure of surface spacing length of structural planes,and the orientation and inclination for the four predictor attribute factors according to the theory of excavation discretization data structure to basic Bayes's classification,we predicted unknown samples of rock classification.The results of the engineering project proved to be feasible.This thesis uses the nonlinear systems of chaos theory as a scientific theoretical foundation,and uses basic knowledge from Bayesian classification as a means to predict the rock classification of the Xi'an-Ankang Railway Qinling Tunnel.The results not only provide technical support for the design and construction works,they also can be used to explore these issues a new way for other projects.
Keywords/Search Tags:Joints series, Chaos characteristics, Classification prediction of surrounding rock, Reconstruction of phase space, First order local prediction method, Bayesian classification method
PDF Full Text Request
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