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Double-track Tunnel Blasting Vibration Monitoring And Vibration Velocity Prediction Analysis

Posted on:2013-05-12Degree:MasterType:Thesis
Country:ChinaCandidate:W CuiFull Text:PDF
GTID:2232330371490636Subject:Mining engineering
Abstract/Summary:PDF Full Text Request
In this paper, it takes the TXXS-1section of new xuan quan temple tunnel construction blasting vibration safety monitoring project as the background, use the new tunnel blasting site as research object, Mainly conduct the following several aspects of the work:(1)Expounds the category and propagation characteristics of seismic waves, calculated and get the blasting vibration limit safety monitoring distance. Provided a basis for the monitoring of equipment layout; Introduces rock stress field distribution of blasting excavation. According to the background of the project, descript the linear elastic region of blasting construction in existing line tunnel.(2)The blasting vibration was monitored during the whole process of new tunnel construction blasting excavation, Access to a large number of monitoring data, through using the method of least squares regression analysis, determined the empirical formula K, a value. At the same time get the blasting strength decay laws in the new tunnel construction process.(3)Use the HHT analysis method, process the signal decomposition, get the blasting signal constitution and main component, and main component of making an envelope, got a new suspended springs in the process of tunnel construction temple of the actual detonator differential blasting delay time, and the engineering blasting parameters optimization, have the important reference value.(4)By establishing the BP nerve network model, realize the blasting vibration intensity of the three parameters accurate prediction, and in its blasting vibration intensity forecast in strong nonlinear processing power to the test and through the contrast of forecasting formula and experience shows that:the BP neural network can completely meet the requirement of the blasting vibration strength prediction, the forecast precision is high, the prediction process simple, practical application value.Subject research goal:This paper mainly used in construction field data collection, the auxiliary material research laboratory analysis theory, the way of the combination of the research. Scientific analysis, optimization and fully argument between various methods of study supplement each other, the purpose is to overcome project under the precondition of the construction problems for scientific and effective research conclusion, in economic and effective control of the project investment, in the construction technology and method to improve the construction efficiency, speed up the construction progress and make new suspension spring temple tunnel in use as soon as possible.Combining with the new suspension of tunnel engineering construction springs temple both lines the vibration intensity UBOX-5016dynamic vibration use measuring instrument vibration monitoring, data collection, arrangement and the theoretical analysis, understand the new tunnel blasting on the small interval has the influence of the tunnel, and select rational blasting parameters, first make sure suspended springs temple of the normal operation of tunnel, and ensure that the new suspension spring tunnel safe, great construction. According to the construction site of the blasting vibration test results, using the least square method and the BP neural network model for prediction of blasting vibration velocity is concluded and forecast method precision.
Keywords/Search Tags:exist line, Least square method, Vibration monitoring, forecast vibration velocity
PDF Full Text Request
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