Spacing Optimization of the TBM Disc Cutter Rock Fragmentation, Based on the Energy Entropy Method

Chen Xu, Yujie Zhu, Danqing Song (), Xiaoli Liu, Wanli Guo and Enzhi Wang
Additional contact information
Chen Xu: State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China
Yujie Zhu: State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China
Danqing Song: State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China
Xiaoli Liu: State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China
Wanli Guo: Geotechnical Engineering Department, Nanjing Hydraulic Research Institute, Nanjing 210024, China
Enzhi Wang: State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China

Sustainability, 2022, vol. 14, issue 20, 1-13

Abstract: We used the hyperbolic Drucker–Prager and damage-failure models to simulate a three-dimensional rock fragmentation with a tunnel boring machine (TBM) disc cutter through ABAQUS. The energy entropy method was proposed to identify the optimal disc cutter spacing. In order to verify the results of the numerical simulation, previous linear cutting machine (LCM) test data were referred to. The results of the numerical simulation were verified by comparing the mean rolling force and the specific energy against the corresponding values from the LCM tests. The proposed energy entropy method showed a good agreement with the LCM test results, thus proving its usefulness in analyzing rock fragmentation for various disc cutter spacings. The comparison between energy entropy and the specific energy showed that both methods provide similar conclusions with regard to optimal spacing. The results of this research showed that energy entropy can predict the performance of TBM disc cutters and could help improve their design.

Keywords: rock fragmentation; tunnel boring machine; specific energy; energy entropy (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/20/13226/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/20/13226/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:20:p:13226-:d:942542

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().