Font Size: a A A

Construction Monitoring And Measurement And Data Analysis Of Temple Pass Tunnel

Posted on:2015-05-04Degree:MasterType:Thesis
Country:ChinaCandidate:X F WuFull Text:PDF
GTID:2132330461464458Subject:Architecture and civil engineering
Abstract/Summary:PDF Full Text Request
With the new Austrian tunneling method is widely used in construction monitoring measurement and data analysis increasingly prominent role. Scientific and reasonable monitoring measurement and data analysis on this basis, can be compared to determine the stability of tunnel surrounding intuitive and better service tunnel construction, and provides a strong basis for further study of the nature of rock tunnels. Thesis Pass tunnel to the temple as the basis for tunnel construction monitoring measurement and data processing were studied.In terms of monitoring and measurement, based on the amount of highway tunnel construction monitoring survey specifications and combine Temple Pass tunnel actual situation, developed a scientific and rational monitoring measurement program. And actual measurements in the measuring point and the measuring line for the protection of a series of exploration.In data processing, regression analysis, BP neural network algorithm model to measure the displacement of the final section of the forecasts were compared. And the use of the concept of displacement sensitivity to measure the rate of displacement of the dynamic relationship between the survey line. Build the temple Yakou tunnel surrounding rock stability criterion based on the results of the actual temple Yakou tunnel monitoring measurements. Finally, typical sections temple Yakou tunnel monitoring measurement data analysis.Pass through the study of the temple tunnel monitoring measurement and data processing, and achieved the following major achievements :1 Design of the Temple Pass tunnel monitoring measurement programs, and monitoring and measurement points measured in the side line protection series exploration, and achieved good results,2 through the use of regression analysis and BP neural network algorithm model to predict the amount of displacement permissible limits prove predictive accuracy BP neural network algorithm model is relatively high.3 using the concept of displacement sensitivity rate to determine the displacement control baseline, achieved good results.4 Pass through the temple tunnel monitoring measurement data analysis, the establishment of a stability criterion rock temple Pass tunnel.5 By monitoring measurement data analysis proved secondary lining of the tunnel is the force.
Keywords/Search Tags:construction monitoring, highway tunnels, data processing, applied research
PDF Full Text Request
Related items