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Research Article | Publishing Language: Chinese | Open Access

Simulation of dynamic evolution of rock muck migration in full-section shaft boring machine based on DEM

Xudong WANG1( )Junliang DONG1Man YAO2Zhangfei DING2Zhijiang YANG3,4Xiangyu SHANG3,4Bin ZHU3,4
Shenhua Xinjie Energy Co., Ltd., Ordos Inner Mongolia 017200, China
China Railway Construction Heavy Industry Co., Ltd., Changsha Hunan 410100, China
School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou Jiangsu 221116, China
State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, China University of Mining and Technology, Xuzhou Jiangsu 221116, China
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Abstract

Aiming at the bottleneck of rock muck migration efficiency during construction by full-section shaft boring machines, this study establishes a numerical model based on the discrete element method to systematically investigate the dynamic influence of cutterhead cone angles on muck aggregation processes. Numerical models with varying cone angles (25°, 30°, 35°) were developed, and particle contact parameters were calibrated using field test data to achieve dynamic simulation of the entire muck migration process. The results indicate that when the cutterhead cone angle ≥35°, self-organized migration for rock muk driven by gravity can be achieved, leading to formation of distinct flow channels within 2 s and accumulation of nearly 90% of particles in the central zone by 50 s. At 30°, muck requires scraping forces from the rotating cutterhead are required to converge rock muk toward the center, while a 25° cone angle induces significant particle retention, necessitating auxiliary discharge devices. A complete muck discharge system model further demonstrates that, with the optimized 35° cone angle, a discharge efficiency of over 90% can be achieved, meeting the requirements for super-large-diameter shaft construction. This research provides theoretical guidance for cutterhead structural optimization in shaft boring machines.

CLC number: TD421 Document code: A Article ID: 2096-2193(2026)03-0570-08

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Journal of Mining Science and Technology
Pages 570-577

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Cite this article:
WANG X, DONG J, YAO M, et al. Simulation of dynamic evolution of rock muck migration in full-section shaft boring machine based on DEM. Journal of Mining Science and Technology, 2026, 11(3): 570-577. https://doi.org/10.19606/j.cnki.jmst.2025096

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Received: 06 May 2025
Revised: 15 June 2025
Published: 30 June 2026
© The Author(s) 2026

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).