2021
DOI: 10.1016/j.tust.2021.104054
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Intelligent decision method for main control parameters of tunnel boring machine based on multi-objective optimization of excavation efficiency and cost

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Cited by 39 publications
(3 citation statements)
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“…The main part of the engineering risk control is to make sure that the disc cutter can cut reinforced concrete materials by its cutterhead configuration. At the same time, that which can be avoided by adjusting the driving parameters are the problems of low efficiency caused by great slow cutting or high cutter load, as well as excessive wear caused by rapid cutting [27][28][29][30].…”
Section: Introductionmentioning
confidence: 99%
“…The main part of the engineering risk control is to make sure that the disc cutter can cut reinforced concrete materials by its cutterhead configuration. At the same time, that which can be avoided by adjusting the driving parameters are the problems of low efficiency caused by great slow cutting or high cutter load, as well as excessive wear caused by rapid cutting [27][28][29][30].…”
Section: Introductionmentioning
confidence: 99%
“…The calculation equation was verified with a correlation coefficient of 0.78 and a mean absolute percentage error of 10.9%. Liu et al [22] studied the most important parameters of the rock mass and machine, and increased the average penetration rate of the TBM by 11.10% and the average cutter life by 15.62% by introducing an intelligent decision method for the main control parameters of the TBM based on the multiobjective optimization of excavation efficiency and cost.…”
Section: Introductionmentioning
confidence: 99%
“…Armaghani et al [24] developed several optimization techniques for predicting the advanced rate of tunnel boring machines (TBMs) in different weathered zones of granite. Liu et al [25] proposed an intelligent decision method for the main control parameters of tunnel boring machines based on multiobjective optimization of excavation efficiency and cost. Aiming at the problem that it is difficult to accurately predict and correct the axis attitude deviation in the shield tunnelling process, Wang et al [26] put forward a prediction of axis attitude deviation and a deviation correction method based on data driven during shield tunnelling.…”
Section: Introductionmentioning
confidence: 99%