| Ensuring construction safety is the consistent and basic requirement of shield construction.However,surface subsidence as the main factors affecting the safety shield construction,it has low frequency of monitoring,construction workers cannot obtain the current surface subsidence and make corresponding tunneling parameter adjustment measures,which affects construction safety.Therefore,it is of great practical significance to study how to judge the ground settlement in time and reasonably provide the recommended values of the tunneling parameters during the construction process.At present,high-dimensional,massive,and low-information mining data bring traditional research methods with disasters caused by the huge amount of data,which not only fails to fully mine the hidden knowledge in massive data,but also seriously affects the research results.Accuracy,comprehensiveness,and robustness.In view of the above problems,this paper proposes a method for studying the relationship between ground subsidence and tunneling parameters of shield construction.Through a large amount of on-site monitoring data,using artificial intelligence and big data analysis methods,the associated range of tunneling parameters in different settlement intervals is obtained.It can not only judge the size of the ground subsidence based on the current tunneling parameters,but also select a reasonable range of tunneling parameters based on the current ground subsidence.The main research contents of this article are as follows:(1)Explore key driving parameters that affect surface subsidence.This paper reviews the business related to shield tunneling parameters and ground subsidence,and summarizes and analyzes the knowledge of the mechanism related to ground settlement and tunneling parameters.Based on this,for the problems of high dimensions and low value density of shield tunneling and mining parameters,the use of big data processing technology and feature selection methods to excavate key tunneling parameters that affect surface subsidence;(2)A qualitative analysis is made of the relationship between surface subsidence and driving parameters.The K-Means algorithm is used to discretize the key driving parameters and surface subsidence data sets.Based on this,Apriori and AP-MMAS algorithms are used to construct a qualitative correlation model between surface subsidence and driving parameters,and the two models are compared.Analysis,select a model with better comprehensive performance to conduct qualitative correlation analysis of surface subsidence and tunneling parameters.Through qualitative analysis,comprehensively obtain the correlation rules between key tunneling parameters and surface subsidence,and obtain the values of key tunneling parameters in different surface subsidence intervals.range.(3)Quantitative analysis of the relationship between surface subsidence and driving parameters.Taking the surface subsidence as the target amount,the SVM and Light GBM algorithms are used to construct a quantitative correlation model between the surface subsidence and the tunneling parameters.The tunneling parameters are used to predict the surface subsidence interval,and the prediction results are evaluated.Finally,the The model conducts quantitative correlation analysis of surface subsidence and tunneling parameters.Through quantitative analysis,the quantitative relationship between different surface subsidence intervals and key tunneling parameters is obtained.Based on this quantitative relationship,this paper innovatively proposes a qualitative and quantitative model fusion method.Using the positive and definite results of the quantitative model results,the optimized range of key tunneling parameters associated with it under different surface settlement intervals is obtained.(4)Finally,a specific construction project of a subway company is taken as an example to verify the application of the method described in this article.The results show that the relationship between the surface settlement and the tunneling parameters obtained by this method has high reliability,which not only verifies the validity and accuracy of the method,but also the related relationships obtained by the method can be used to guide the shield construction,which provides a strong guarantee for the safe construction of the shield method in subway construction. |