Prediction of Shield Performance in Cutting Anchor Bolts Based on WOA-LightGBM

Abstract:

On the basis of the analysis of engineering characteristics of anchoring strata， six relevant engineering indicators referring to characteristics were proposed. Three operational parameters of shield machine were included into inputs. A set of model indexes for the prediction of shield performance was constructed by taking the penetration rate and the torque of cutter head as outputs of tunneling performance. In combination with an actual project of Wuhan metro，the excavation parameters were collected during the anchor-cutting excavation. Prediction models for penetration rate and torque were developed respectively based on LightGBM method， and whale optimization algorithm （WOA） was used to find the most suitable parameters in LightGBM model. Results show that the proposed model indexes are proper and rational， which can predict the shield performance when tunnelling in anchorage zone； the WOA-LightGBM-based prediction model has obvious advantages in prediction accuracy compared with BP and ELM neural network， while the time-consuming is similar.