Results 21 to 30 of about 1,981,740 (257)
Artificial intelligence for tunnel boring machine penetration rate prediction
, 2023 Penetration rate prediction of Tunnel Boring Machines (TBM) is critical for understanding excavation performances. In this paper, we investigate the possibility of developing machine learning models that accurately predict the Penetration Rate of a TBM ...
Flor A. +6 more
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Influence of geology on tunnel boring machine performance: A review [PDF]
Journal of Mining and Metallurgy. Section A: Mining, 2020 Tunnel boring machines are used for excavating a variety of soils and rocks for circular cross-section tunnels. Several published studies examined the role of rockmass in determining the cutting and advance rate of tunnel boring machines. A comprehensive
Pandey P.K. +5 more
doaj
Frontiers in Earth Science, 2023 In order to improve the digging efficiency of tunnel boring machine (TBM) in high-strength and highly abrasive formations, high-pressure water jet-assisted tunnel boring machine rock breaking technology has been developed and applied in steps.
Yalong Jiang +5 more
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Study of the Permeability of Foam Conditioned Soils with Laboratory Tests [PDF]
, 2010 EPB tunneling requires that the excavated soil has a plastic and pulpy behavior to be able to apply a stabilizing pressure to the face, but it should also be impervious to counteract filtration forces that could develop ahead of the face.
PEILA, Daniele +4 more
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Deep learning characterization of rock conditions based on tunnel boring machine data
Underground Space, 2023 Rock condition perception based on tunnel boring machine (TBM) data is of great importance for not only ensuring tunnel boring safety but also improving construction efficiency. The prediction of TBM boring responses (i.e., torque and total thrust of the
Xu Li +4 more
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Underground Space, 2023 This review summarizes the research outcomes and findings documented in 45 journal papers using a shared tunnel boring machine (TBM) dataset for performance prediction and boring efficiency optimization using machine learning methods. The big dataset was
Jian-Bin Li +12 more
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A Shield Segment Bolt Detection and Localization Method Based on Ellipse Detection
IEEE AccessThe automatic assembly of shield tunnel segments can significantly reduce labor intensity and improve tunneling efficiency. However, during the automatic segment gripping process, traditional methods of setting targets introduce manual errors and ...
Jie Liu +5 more
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Single-Level Station Complex Structure for Application of Through Driving Construction Method
Наука и техника, 2020 Metro Service has a huge impact on the development of urban transport infrastructure. The need to increase the efficiency of passenger transportation is caused by the rapid growth in passenger turnover as well as an increase in the distance from the ...
A. О. Kolikov, G. P. Pastushkov
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Stability analysis of TBM tunnel under unfavorable geological conditions of large dip faults
Meitan xuebaoBased on the Dali I section of the Central Yunnan Diversion Dali Tunnel Project, an indoor model test of TBM traversing faulted geological conditions under high ground stress was carried out using the self-developed miniature TBM tunneling integrated ...
Liming WANG
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Scientific ReportsSlurry pipeline transportation is widely used in dredging and serves as an essential method for conveying solid materials. However, accurately describing the interaction between slurry and particles through numerical simulations, while optimizing the ...
Chunya Sun +8 more
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