Research on the Evolution of Shield Segment Cracks Based on Acoustic Emission and CMOD

Materials (Basel). 2022 Aug 24;15(17):5829. doi: 10.3390/ma15175829.

Abstract

In order to explore the cracking law and failure characteristics of segments, a model test of shield segment cracking was conducted. The microscopic and macroscopic crack evolution process of the segment is studied by using acoustic emission detection technology and crack opening displacement (CMOD). According to the acoustic emission signal and CMOD, characteristics generated in the process of segment cracking, in the form of numerical value, the evolution characteristics of each stage of segment cracking are directly reflected. Based on acoustic emission energy and CMOD, the segment cracking damage model was established to determine the segment fracture damage degree. The result shows that segment cracking can be divided into three stages, and the acoustic emission detection results and CMOD have different degrees of change in each cracking stage. This proves that both the acoustic emission acquisition results and CMOD can be used as evaluation indicators of damage degree. Acoustic emission can accurately identify the crack evolution process, and the yield strengthening is an important stage of crack damage evolution. The damage data points in this stage account for 76.83% of all the damage data points, the occurrence rate of damage data points is 0.225 s, and the density of data points in the damaged area is 3.219 × 10-4 mm3, which is larger than the other two stages. The segment cracking damage model can effectively reflect the segment cracking degree and provide a reference for the actual segment cracking assessment.

Keywords: CMOD; acoustic emission; crack evolution characteristics; segment crack damage; segment cracking damage model.

Grants and funding

This research was funded by [National Natural Science Foundation of China] grant number [52078311], [Young Talent Top Project of Hebei Province] grant number [BJ 2020055], [Shenzhen Science and Technology program] grant number [KQTD 20180412181337494] and [China Postdoctoral Science Foundation] grant number [2019M663553] respectively.