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The Study Of Monitoring And Control Technologies Of Blasting Vibration In Urban Shallow Large-Span Tunnel

Posted on:2012-04-30Degree:MasterType:Thesis
Country:ChinaCandidate:Z LuoFull Text:PDF
GTID:2132330335989621Subject:Mining engineering
Abstract/Summary:PDF Full Text Request
With the widely application of blasting technology, there is growing concern about blasting on the surrounding environment and the impact of buildings, in particular the harm caused by the blasting vibration is taken seriously. Many disputes of blasting project relate to the blasting vibration, such as building cracks, doors and windows vibrating ring, slope collapse and shock of people and livestock will be complaints to the blasting, so the blasting vibration has been one of the important issues of concern. This thesis take Xiamen success Boulevard JC3 tunneling blasting as project background, combined with testing and theoretical analysis of two analytical tools to study the housing of blasting vibration on the surface of the tunnel, mainly research aspects as following:(1) Established the mechanical model of the building by the blasting vibration to study the blast vibration frequency response characteristics of building, and put forward some suggestions to the blasting vibration frequency classification of safety standard.(2) Conduct the blasting vibration testing and analysis of the tunnel seismic wave amplitude and frequency distribution, based on the test data, according to the regression analysis, discover the spread regulation of the of blasting vibration on the tunnel and provide the basis for explosive quantity control.(3) Write the matlab programming of neural network, established the tunnel blasting vibration neural network model to accurately predict the blast vibration then guide the blasting construction(4) Write the matlab programming of gray relational analysis to analysis the primary and secondary of factors in the tunnel blasting vibration and established some measures to reduce the blasting vibration which achieved good results。...
Keywords/Search Tags:Tunnel, Blasting vibration, Neural network, Grey relational analysis, Vibration control
PDF Full Text Request
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