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A Fast Estimation Method of Soil Discharged by an Earth Pressure Balanced Shield Machine
Zhu Wen,Xuening Rong,Zhen Wang,Songtong Han,Ziming Xiong,Yehui Shi 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.6
The soil discharged by an earth pressure balanced (EPB) shield machine reflects ground loss and controls surface settlement. In engineering, the discharge was mainly estimated by weighing the tunnelling spoil, however, human disturbance and information lag bring serious hidden security risks to tunnel construction. Through the analysis of conveying flow and force of screw conveyor, an energy model of interaction between screw conveyor and soil discharged was proposed and verified experimentally. Then, the energy model was combined with the discharge equation and the force balance equation, and a semi-analytical method to fast estimate the soil discharged of the EPB shield machine was proposed. Taking an EPB shield construction project as an example, according to the data of earth pressure, the torque and the rotation of the screw conveyor recorded by EPB shield machine, the real-time soil discharged of EPB shield machine can be accurately estimated. The mean absolute error (MAE) of this method is 3.177 × 103 kg compared with the measured weight of tunnelling spoil, which verifies the rationality of the method and provides a method for further effective evaluation and control of ground loss.
Zhu Wen,Zhen Wang,Xuening Rong,Xiaoli Rong,Ziming Xiong,Baohuai Yang 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.12
The ground loss caused by earth pressure balance (EPB) shield tunneling is a serious threat to the safety of ground and underground buildings. The amount of soil discharged is a direct factor causing the ground loss, but the feedback of the amount of soil discharged has the problems of human subjectivity and information lag. Based on the theory of soil discharged and shield construction data, a data model for predicting the amount of soil discharged is constructed, and a predictive method of soil discharged based on adaptive adjustment strategy and parameters to achieve optimal regression is proposed. Taking Changzhou shield tunnel construction project as an example, through comparative analysis, the main influencing factors of soil discharge data model are screw-conveyor torque, screw-conveyor revolutions, total thrust, screw-conveyor entrance earth pressure, the revised standard penetration test blow-count, and compression modulus. The results show that the mean absolute error (MAE) of the model is 0.911 m3, and the mean absolute percentage error (MAPE) is 2.78%, which verifies the effectiveness of the prediction of soil discharged by feature engineering.