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Study On Early Warning And Control Technology Of Collapse And Landslide In Road And Bridge Of Tianjin

Posted on:2018-09-03Degree:MasterType:Thesis
Country:ChinaCandidate:Y Q LiuFull Text:PDF
GTID:2392330599962422Subject:Architecture and Civil Engineering
Abstract/Summary:PDF Full Text Request
Collapse and landslide are two types of natural geological disasters.The occurrence of landslide and landslide disasters are mainly affected by external factors such as earthquake,rainfall and artificial activities,besides related to their own geology,geography and other factors.Due to the complexity,controllability and suddenness of natural disasters such as landslide and landslide,the current early warning and prevention work is not satisfactory.In the mountains,when building roads and bridges,the impact of the terrain and other conditions may cause a large number of landslide hazards left behind by the construction.Once a landslide and landslide hazard occur on the roads and bridges,the traffic and transportation will be severely affected.Even caused significant economic loss of property.Jixian County in the northern part of Tianjin is a mountainous area,and most of the mountains are steeply tall.During the rainy season from June to August,road and bridge collapses may occur.In order to reduce the adverse consequences of such geological disasters and casualties,relying on Tianjin Highway Engineering Corporation "Road and Bridge Emergency Analysis of Tianjin Road and emergency technology research" project,Tianjin Road and Bridge landslides monitoring and warning And prevention and control technology research.The main work and conclusion are as follows:1.Through the survey of Tianjin regional geology,Tianjin Municipal Land Resources Bureau,public information and related references,Tianjin geography,geology,meteorology and hydrology and other information,collated to summarize the collapse of landslides have occurred in the instance statistics of the collapse of Tianjin Damage categories,analysis of road and bridge collapse in Tianjin and landslides occurred hidden points and the distribution of risk factors.2.According to the survey results,this paper gives four levels of assessment criteria of single collapse risk and vulnerability Ⅰ,Ⅱ,Ⅲ and Ⅳ in Tianjin,and gives corresponding prevention and control measures according to different levels of collapse and collapse,and puts forward that each collapse Level monitoring content and frequency,detailing the collapse of the collapse of the three stages.Combining the rainfall intensity and the danger level of collapse risk,the warning level of collapse hazard point is formed,and finally the corresponding collapse monitoring,early warning and prevention system is formed.3.According to the survey results,the area of landslide hazard in Tianjin is divided into four warning levels,and the monitoring frequency and content of landslide hazard points are put forward.According to the geological survey data of Tianjin,the landslide model is constructed by means of finite element analysis and the regularity of rainfall and landslide damage duration is studied.The rainfall critical value of landslide warning in different warning levels in Tianjin is proposed.4.Using mathematic fitting method to get the formula of relationship between the damage duration of road and bridge landslide and rainfall intensity in Tianjin.Based on the results of the finite element analysis and the mathematical simulation,according to the open data of Tianjin Meteorological Bureau,the roadway bridge landslide monitoring and early warning prevention and control system in Tianjin is reasonably developed.5.According to the research results of this project,programming procedures of landslide monitoring,early warning and prevention and control in Tianjin are compiled and the visualization operation system is set up so as to improve the efficiency and operability of monitoring,early warning,prevention and control in the management department.
Keywords/Search Tags:Collapse, landslide, warning, prevention and control, finite element analysis, mathematical fit
PDF Full Text Request
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