Study On The Methods And Applications Of Tunnel Surrounding Rock Sub-classification Based On TSP And Monitoring Measurement Information

Over the past20years, fast development of transportation industry in China, hi-ghspeed rail, highways, urban rail construction scale is becoming more and more big,etc. Soaring number of highway tunnel, the tunnel research has resulted in a newchallenge and development. At home and abroad in various studies of tunnel surround-ing rock classification is always a focus, quick, reasonable level of surrounding rockclassification decision is in urgent need of technical support in the tunnel construction,and stability evaluation of geological disasters and the important basis of treatmentplan formulation. Has produced many kinds of classification methods at home andabroad, they are from different angles to the hierarchy of surrounding rock, but for thedomestic current situation of the classification, and have important influence on sur-rounding rock classification method than on international, fewer hierarchical level,past practice shows that the tunnel construction:《Specification for design of highwaytunnel》in Ⅲ, Ⅳ, Ⅴclass surrounding rock classification span is larger, can be basedon the level classification of surrounding rock classification at all levels, to maximizemeet the safe and economic construction principle. For the design phase of the levelof surrounding rock classification is put forward in《Specification for design ofhighway tunnel》. At present the research on the level of surrounding rock classifica-tion is mainly concentrated in the construction stage of constraints according to getinformation for classification of surrounding rock after excavation, but because of thecomplexity of the scene, appear a lot of design level and the actual level of surround-ding rock has a great discrepancy, and for advanced prediction of the level ofsurrounding rock classification research is still relatively small, there is no systematicresearch. According to professor Wang Mingnian et al. Numerical test road tunnelrock mass according to its performance since the stability of surrounding rock chara-cteristics of the grade classification, this paper tries to establish a practical road tunnelsurrounding rock grade classification method, grade level Ⅲsurrounding rock can bedivided into two levels, Ⅳ level of surrounding rock is divided into three level, levelⅤlevel of surrounding rock is divided into two levels. This paper, by using TSP advance forecast system detection results and monitor-ing information, combining the theory of quantification and statistical regressionanalysis principle, the level of surrounding rock classification method is established.The method of rock class will Ⅲ, Ⅳ, Ⅴsegment, and will adopt the qualitativeindicators divided into hard rock, rock mass integrity and quantitative groundwaterstatus, to achieve the level of surrounding rock classification automation and standar-dization. Combined with the monitoring research, explores the quantitative relation-ship between the surrounding rock deformation and rock mass. The main researchresults are:(1) The TSP advance forecast system is using the elastic wave dynamics, multicomponent exploration technology, use X, Y, Z three-component geophone receivinginformation of seismic waves generated by the source, through the software analysisto get the complete P-SV, P-SH wave and P-P wave seismic records, according tothe reflection wave and numerical analysis of effective information, The resultsinclude: Can intuitive performance data, such as p-wave velocity, density, poisson’sratio, static young’s modulus of rock physical and mechanical parameters, andthrough reflection, and waveform figure reflects the structure of the influence degree,joint fissure development, the hard and soft surrounding rock and water content, andso on and so forth. Above the results of data can be used to quantitatively determinethe index and classification of surrounding rock for grading provide effectivequantitative values.(2) The TSP system with the study of relationship between surrounding rockclassification indexes. Wave propagation in the rock by rock composition and density,the influence of bulk modulus and energy losses occur, leading to differentlongitudinal wave and shear wave velocity, velocity of wave in rock mass under theinfluence of crack development degree and the filler.TSP203can provide the greatest value is the longitudinal wave speed of rockmass, and that’s very helpful for the analysis of the rock hardness, to elegantsurrounding rock hardness, can be reference for railway tunnel surrounding rockclassification methods in the relationship between hardness and surrounding rockelastic p-wave velocity of surrounding rock; When carries on the qualitativedescription, you can refer to the TSP exploration results, the degree of joint development of surrounding rock in front of the judge. When carries on thequantitative analysis of TSP can provide a large number of reliable the p-wavevelocity of the rock, combined with the determination of rock mass elastic p-wavevelocity, can be concluded that the rock mass integrity index; In construction processand the TSP system such as the integration of advanced prediction, based on theresults of the TSP can easily qualitative judge the state of groundwater in front. So byTSP detecting results of the performance of rock hard degree, rock mass integrity andfissure water surrounding rock classification indexes such as the parameters of thestate.(3) The quantification theory, as a branch of multivariate statistical analysis,according to the purpose of all kinds of statistical analysis, given the correspondingmethod to remove the unnecessary raw data, simplify the calculation, and the selec-tion of variables to bring very great flexibility, allows the quantification theory andregression analysis and discriminant analysis for unity. In this paper, on the basis ofthe theory of quantification, establish the mathematical model of quantitative determ-ination of surrounding rock, this method quantifies the qualitative indexes, throughthe acquisition of the discriminant analysis of rock samples, the criterion of the classi-fication level coefficient, and the level of surrounding rock classification equation isestablished.(4) In the process of tunnel construction, the judgment of the stability ofsurrounding rock for the most part from the monitoring data, through fieldmeasurement, according to the different rate of surrounding rock deformation oftunnel surrounding rock deformation, can be divided into three stages: the sharpdeformation, slow deformation, basically stable. This article only for rock mass as Ⅲ,Ⅳ, Ⅴ level, Ⅵlevel and the level of research, based on the different level ofsurrounding rock, the vault subsidence and peripheral convergence monitoring datafor statistical analysis and fitting, pushed to the level of the deformation ofsurrounding rock under the normal distribution of the interval probability, and it isconcluded that with the loss of the rock mass and its displacement increases, concludethat expectations vaults and peripheral convergence deformation of surrounding rockstability and the rough quantity relation between rock mass:y aebx. In one of theresearch on vault sink,a=3.3152,b=0.2769, Peripheral convergence study, a=2.9699,b=0.3379，By studying the quantitative relationship between displacementand surrounding rock mass, can make the site engineers on the deformation of tunnelsurrounding rock evaluation is more convenient, to implement the informatizationconstruction of the tunnel.(5) Combined with engineering the Taiwan high-speed nanping section tunnelkuzhu1#tunnel on the level of surrounding rock classification research, the selectionof typical rock section: YK47+602～YK47+452and ZK47+507～ZK47+388，Thetwo rock engineering properties is relatively complex, including Ⅲ, Ⅳ, Ⅴlevel ofsurrounding rock, based on the TSP of2D reflective surface figure and rock physicalparameters, and the rock elastic p-wave velocity, judge the surrounding rock of discri-minant indicators: Hard rock, rock integrity and the qualitative quantitative numericalgroundwater status, after the level classification equation, combined with the actualtunnel excavation is compared, the results show that the grade of surrounding rockand the classification method of engineering information construction has the direc-tivity, can effectively save the budget.