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Intelligent optimization of TBM cutter spacing and FDEM-based investigation of rock breakage considering brittleness

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Název: Intelligent optimization of TBM cutter spacing and FDEM-based investigation of rock breakage considering brittleness
Autoři: Youlin Qin, Li Yu, Mingnian Wang, Zhaohui Chen, Hong Jin, Mingyang Yu, Songshen Wang
Zdroj: Underground Space, Vol 23, Iss, Pp 379-402 (2025)
Informace o vydavateli: Elsevier BV, 2025.
Rok vydání: 2025
Témata: Cutter spacing, TA703-712, PSO-XGBoost, Engineering geology. Rock mechanics. Soil mechanics. Underground construction, Rock-breaking efficiency, Rock brittleness, FDEM
Popis: Cutter spacing is a key factor influencing the efficiency of TBM operations. Meanwhile, rock brittleness, as a critical indicator of rock fracture, significantly influences fragmentation behavior and rock-breaking efficiency. This study investigates the influence of rock brittleness on rock-breaking through numerical penetration experiments based on the hybrid finite-discrete element method (FDEM) and proposes four intelligent hybrid models to optimize cutter spacing. The results show that as the rock brittleness index (BI) increases from 4.731 to 32.588, the count, depth, width, and proportion of tensile cracks increase, and crack propagation shifts from horizontal to oblique orientations. Moderate cutter spacing (90–110 mm) is optimal for generating tensile cracks. The rock-breaking force increases significantly with higher BI; for instance, at 80 mm spacing, the maximum force for rock with a BI of 13.134 is 5.51 times that for rock with a BI of 4.731. The influence of BI on cutter work and specific energy (SE) is more substantial than the effect of cutter spacing. As BI increases, both cutter work and SE rise considerably. Among the proposed models, the particle swarm optimization and extreme gradient boosting (PSO-XGBoost) model demonstrates the highest performance, achieving an R2 of 0.994, VAF of 99.418%, RMSE of 0.987, and MAPE of 5.217% on the test datasets. An optimization method for cutter spacing is proposed based on this model.
Druh dokumentu: Article
Jazyk: English
ISSN: 2467-9674
DOI: 10.1016/j.undsp.2025.02.011
Přístupová URL adresa: https://doaj.org/article/20bf5faf784d4fd79d37bd010a5b4603
Rights: CC BY NC ND
Přístupové číslo: edsair.doi.dedup.....ec9bb7c735eddc1cf9a4d9929c23a1b3
Databáze: OpenAIRE
Popis
Abstrakt:Cutter spacing is a key factor influencing the efficiency of TBM operations. Meanwhile, rock brittleness, as a critical indicator of rock fracture, significantly influences fragmentation behavior and rock-breaking efficiency. This study investigates the influence of rock brittleness on rock-breaking through numerical penetration experiments based on the hybrid finite-discrete element method (FDEM) and proposes four intelligent hybrid models to optimize cutter spacing. The results show that as the rock brittleness index (BI) increases from 4.731 to 32.588, the count, depth, width, and proportion of tensile cracks increase, and crack propagation shifts from horizontal to oblique orientations. Moderate cutter spacing (90–110 mm) is optimal for generating tensile cracks. The rock-breaking force increases significantly with higher BI; for instance, at 80 mm spacing, the maximum force for rock with a BI of 13.134 is 5.51 times that for rock with a BI of 4.731. The influence of BI on cutter work and specific energy (SE) is more substantial than the effect of cutter spacing. As BI increases, both cutter work and SE rise considerably. Among the proposed models, the particle swarm optimization and extreme gradient boosting (PSO-XGBoost) model demonstrates the highest performance, achieving an R2 of 0.994, VAF of 99.418%, RMSE of 0.987, and MAPE of 5.217% on the test datasets. An optimization method for cutter spacing is proposed based on this model.
ISSN:24679674
DOI:10.1016/j.undsp.2025.02.011