Dissertation > Excellent graduate degree dissertation topics show

Research on Risk Monitoring of Subway Foundation Pit Construction Based on Association Rules

Author: LiJinLing
Tutor: ChenWeiZuo
School: Tianjin University of Technology
Course: Technology Economics and Management
Keywords: Excavation Engineering Construction Accident Association rules Risk monitoring
CLC: U231.3
Type: Master's thesis
Year: 2011
Downloads: 120
Quote: 1
Read: Download Dissertation


With the development of the city, the development and utilization of underground space requirements become increasingly important. Subway construction, and high-rise buildings deep foundation construction, the need for large-scale excavation of the underground, which involves excavation engineering. Metro Pit engineering is one of the main forms of excavation engineering, high risk of subway construction due to the cross-cutting nature of the construction technology, the complexity and the special nature of the construction environment. With the rapid development of the subway construction in the country there have been varying degrees of subway construction safety accidents. Subway accident investigation found that, from subway security incidents are not there is no sign of the occurrence of more effective prevention of subway construction accidents, construction accidents in the construction process should focus on monitoring triggered uncertainties, prior to take preventive measures. In this paper, the foundation pit excavation engineering as the research object, using literature data, expert interviews, comparative analysis, survey research methods, analysis of subway construction in the past on the basis of the accident, based on the theory of association rules, build construction accident association rules correlation analysis model to analyze the types of accidents excavation engineering and construction risk source to draw strong association rules. Ultimately, the construction of the subway excavation engineering Risk Monitoring Project. The details are as follows: First, from the departure of the the subway construction status quo and safety management status, pointed out that the the foundation engineering characteristics of the subway station and excavation engineering monitoring existing monitoring confined to technical monitoring project, while ignoring other uncertainty The correlation between the risk monitoring project analysis. Literature, concluding the the excavation engineering risk monitoring concept and risk monitoring project to lay the foundation for the theoretical analysis of the correlation between the type of construction accident risk monitoring project for the introduction of association rules. Secondly, the use of the correlation between the association rule mining the subway excavation engineering risk factors. The theoretical analysis of excavation engineering accident prevention accident Excavation Engineering accident risk source identification principle, based on risk source recognition method. Through comparative analysis of the enterprise workers casualties classification and construction casualties classification and literature, concluding construction risk factors, the use of the preliminary statistical analysis of the survey results of the questionnaire method of risk source, re-pit construction accident type and risk sources identified ; last subway excavation engineering accident analysis model was constructed based on association rules. Finally, the foundation pit construction risk analysis based on association rules based on model design, by analyzing a lot of the history of the foundation pit engineering construction accident data, the use of the association rule mining up pit accident type collapse accident The frequent itemsets between man - machine - environment - Management, generate strong association rules. Obtained by evaluating 45 in Metro construction portfolio of risk monitoring, and make some preventive measures. Above, this perfect pit concept of risk monitoring by identifying the type of construction accident in Metro construction risk source, the association rule method is applied to investigate the relationship between the foundation pit construction accident type and risk source.

Related Dissertations

  1. Based on data mining research tax audit case selection,F812.42
  2. The Application of Association Rules Algorithm in Higher Vocational Colleges’ Endorsement of Impoverished Students,G717
  3. Data Mining of Application in the School Management and Training Students,TP311.13
  4. Researeh on Data Mining Technology for Teahing Assessment in Technique College,TP311.13
  5. Research Offingerprint of Communication Behavior,TP311.13
  6. Research of Dynamic Association Rules,TP311.13
  7. An Intrusion Detection System for High-Speed Networks,TP393.08
  8. Application to Subway Construction Accident Cases Based on CBR-RBR,U215.8
  9. Supercomputer based on log analysis method of forecasting errors,TP338
  10. Data mining in the student evaluation system application,TP311.13
  11. Privacy -oriented association rule mining research,TP311.13
  12. Users trading behavior analysis and demonstrate - in modern barter industry in the application,TP311.13
  13. Figure based on association rules and emotional tendencies sort of sentence,TP391.1
  14. Intrusion detection based on data mining technology research,TP393.08
  15. Association rules algorithm and its pharmacy system in the intelligent application of,TP311.13
  16. Based on Data Warehouse Management System NCMS,TP311.13
  17. The Research on Medication Laws of Arthralgia Syndrome in Medicalcase Prescription Based on Clustering Analysis and Association Rules,R255.6
  18. Aplastic anemia of TCM Syndrome typing literature data mining research,R259
  19. The Website Optimization Research Base on Web Usage Mining,TP393.092
  20. Design and implementation of intrusion detection system based on association rules,TP393.08

CLC: > Transportation > Rail transport > Special railway > Mass Transit Railway > Subway construction , renovation and expansion
© 2012 www.DissertationTopic.Net  Mobile