Monitor And Measuring Data Mining And The Deformation Prediction Of Tunnel

With the rapid development of construction technology and design theory of tunnel engineering, more and more highway tunnels are constructed. New Austrian Tunneling Method (NATM) is widely used in the current construction of highway tunnels, and the monitor measuring of highway tunnel has gradually become a project of tunnel engineering design and an important mean to ensure the safety of construction as an important component of NATM. Monitoring technology has also been developed quickly, and it has a direct impact on the tunnel structure, construction method, supporting parameters, cost, duration, etc. Because of the imperfect monitoring tools , post-processing analysis of data, information feedback not in time and other problems , the monitoring data can not play its due role in the verification aspects of pre-design and follow-up construction. According to the mentioned problems above, the author put forward the research subject of monitoring measurement data mining and deformation prediction of a tunnel, and conducted the thorough system by using the existing research results based on the on-site monitoring data and geological data in the study.First of all, according to the characteristics(clutter, repeatability, and no-integrity) of the monitoring data, data cleaning, transformation, integration, protocols and other processing were carried out by the data pre-processing system of data mining. The process has greatly improved the quality of data mining models and reduced the time required for subsequent mining.Secondly, according to regression theory and the corresponding deformation model of a tunnel, the surface subsidence of soil section, the crown settlement and the surrounding convergence of different surrounding rock sections are analysed by using regression analysis through SPSS software ,and it verified the effectiveness of using multiple regression analysis to process huge data in SPSS software. On the basis of the results,we can preliminary calculate the limit of deformation after the tunnel was excavated and the time needed for stabilization state,and it also can provide a strong basis for the deformation adjustment and post-processing arrangement.Lastly, for the influence factors (Complexity, randomness, fuzziness) of the surrounding rock deformation displacement, based on the Takagi-Sugeno(t-s) model, adaptive neuro-fuzzy inference system(ANFIS) is adopted in the first time to establish a prediction model of the tunnel displacement. Because the fast convergence rate, good stability, repeatability of the training process, and high prediction accuracy of this forecast model, the general rule of tunnel deformation in different surrounding rock can predicted effectively.The research work in this paper, based on forefront subject, adopted the latest mathematics calculation method and means to study the monitoring measurement data mining and deformation prediction of a tunnel. It is valuable both in theories and the applications for providing a new effective method to process tunnel monitoring measurement data.