Open AccessStudy on optimization design and wear prediction of TBM cutter based on Standard Ga Algorithm
Author(s) -
Xin Liu,
Shaowei Wang,
Yu Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1798/1/012002
Subject(s) - component (thermodynamics) , engineering , tunnel boring machine , process (computing) , structural engineering , key (lock) , optimization algorithm , reliability engineering , computer science , mathematical optimization , mathematics , physics , computer security , thermodynamics , operating system
In tunnel construction, the tunnel boring machine (TBM) emerged in the 1930s has found wide application in tunnel construction due to its high construction efficiency, economy and environmental protection, etc. [1]. For TBM, the cutterhead is a key component and the most vulnerable component [2], and therefore the study on the cutterhead damage enjoys great significance. In the working process of TBM, wear and tear will cause structural failure of the cutterhead, then affect the normal operation of the TBM, and even cause problems such as production shutdown. On this basis, the optimization design of the cutterhead structure and the prediction of the cutterhead wear performance were investigated, thus providing reference for expanding the application of TBM.