Shijiazhuang Tiedao University

China State Railway Group Co., Ltd.

Guangchun Xu

Lijie Du

Xun Luo

Qingwei Li

Yalei Yang

Baosheng Liu

Zhaojun Han

Lu Xu

Jun Zhao

Dejin Xu

Chunqing Zhao

Disclosed is a method for identifying a vibration magnitude of a TBM main beam using a geological feature parameter and a tunneling feature parameter constructed based on tunnel boring machine (TBM) tunneling parameters. The method includes: collecting vibration signals of the main beam and tunneling parameters of a TBM through an in-situ tunneling test and preprocessing such data, researching a correlation law between the tunneling parameters and a vibration feature root mean square (RMS), providing two feature parameters of a field penetration index (FPI) and a cutterhead power index (TNI), establishing a multivariate regression prediction model for vibration of the TBM main beam based on the feature parameters, and verifying and analyzing the model under different surrounding rock conditions. An average relative error of prediction is 12% or within, and a quantitative relation between the vibration features of the main beam and the feature parameters of the TBM is given.

Method for identifying vibration magnitude of tunnel boring machine (TBM) main beam using geological feature parameter and tunneling feature parameter constructed based on TBM tunneling parameters

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Beijing, China

Guangchun Xu