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Study On Control Blasting Technology And Safety Evaluation Of A Project For Guangxi Hebai Expressway And Safety Assessment

Posted on:2018-03-05Degree:MasterType:Thesis
Country:ChinaCandidate:H NiuFull Text:PDF
GTID:2322330542964705Subject:Mining engineering
Abstract/Summary:PDF Full Text Request
With the development and advancement of infrastructure and basic industries enterpriseunceasing,highway,railway,airport and port infrastructure construction has been developed rapidly,the most of construction need to rely on rock blasting technology.Compared with the traditional blasting technology,controlled blasting technology,although avoiding and weaking low utilization rate,large and high rate of overbreak or underbreak,itself has also been got considerable development.However,due to the characteristics of blasting vibration,blasting flying rock,blasting air shock wave have been the three major blasting most serious damage harmful factors to personnel and building,often causing casualties and building damage accident.Therefore,based on the research background and current situation of control blasting technology,it points out that the control blasting in the current importance in the construction and use of extensive,the adverse effects of blasting on the surrounding buildings and personnel,according to the three factors of blasting harmful accident tree analysis is proposed for controlled blasting safety measures,combines with the engineering practice,puts forward blasting construction plan,construction scheme.Based on calculation model of the BP neural network to evaluate blasting construction safety engineering example.From the full text of the study,the following conclusions can be obtained:The controlled blasting harmful effects on the surrounding environment and houses,especially the factors including blasting rock,blasting vibration,blasting shock wave three aspects.Based on the theory of fault tree analysis of three major blasting hazards,it can be seen that the blasting shock wave accident is prone to occur and difficult to control during blasting construction,and between the construction site supervision and construction design occupy larger proportion;the accident of blasting vibration is prone to occur and difficult to control,ineffective vibration attenuation measures and buildings own factors accounts for a large proportion;blasting flyrocks control measures but more,blasting alert range blasting flyrocks adverse events accounted for a larger proportion,the accident is prone to blasting flying rocks,but there are many control measures,blasting warning range blasting flyrocks adverse events account for a larger proportion.Therefore,in the process of blasting construction,we should strengthen the supervision of construction site,construction design,vibration reduction measures and preventive measures in the scope of blasting warning.To control blasting slungshot,it designs loosening control blasting construction scheme.The explosion of detonator detonating hole and hole millisecond delay guide,when necessary,using the "single hole ring",and strictly control the same period of maximum dose and control in the range of blasting vibration safety license.The design of the shallow hole loose blasting,blasting network using Nonel detonation network,hole millisecond delay blasting method,can reduce the cost and ensure network security.The use of BP neural network model can evaluate reliable rock blasting on the surrounding buildings safety level,for any building in the input signal structure factors,geological factors unchanged,through the adjustment and optimization of blasting parameters of factors,and thus achieving the safety level of the building to ensure the safety of the building.Combining with the engineering example,the blasting construction safety engineering examples were evaluated so as to realize the optimization of blasting safety assessment and blasting parameters,which has certain theoretical significance and economic significance to the same type of blasting operation.
Keywords/Search Tags:control blasting, hazard factors, fault tree analysis, BP neural network, safety evaluation, parameter optimization
PDF Full Text Request
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