Zobrazeno 1 - 10
of 13 541
pro vyhledávání: '"Rock mass classification"'
Autor:
Long Li
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract The accurate prediction of uneven rock mass classes is crucial for intelligent operation in tunnel-boring machine (TBM) tunneling. However, the classification of rock masses presents significant challenges due to the variability and complexi
Externí odkaz:
https://doaj.org/article/ba14b42582e24be6bdca94a1cc66e598
Publikováno v:
AIMS Geosciences, Vol 10, Iss 3, Pp 498-523 (2024)
This study presents an engineering geological investigation aimed at assessing the bearing capacity of the proposed site for the Meli gold processing plant (GPP) located in the northwestern region of Tigray, Ethiopia. The geological composition of th
Externí odkaz:
https://doaj.org/article/bdb2989ea48649a3b30679bbbba8ec38
Autor:
Aamir Hameed, Mairaj Soomro, Yaoying Huang, Mian Sohail Akram, Muhammad Sanaullah, Luqman Ahmed, Muhammad Jehangir Khan
Publikováno v:
Water Supply, Vol 24, Iss 5, Pp 1425-1446 (2024)
The study for the design of tunnels in similar geological settings, providing insights into potential challenges that may arise during excavation and offering strategies for mitigating risks in District Kalam on the Ushu River, Khyber Pakhtunkhwa, Pa
Externí odkaz:
https://doaj.org/article/31c6b8155e374fb18b304e0fcb8330c2
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The present study introduces “rock slope instability score (RSIS)” a novel classification system for assessing rock slope stability. It takes into account geological and geotechnical parameters, as well as the impact of human activities
Externí odkaz:
https://doaj.org/article/aece07a288b6453ba46e82f9aba9716e
Publikováno v:
Applied Computing and Geosciences, Vol 24, Iss , Pp 100199- (2024)
Current rock engineering design in drill and blast tunnelling primarily relies on engineers' observational assessments. Measure While Drilling (MWD) data, a high-resolution sensor dataset collected during tunnel excavation, is underutilised, mainly s
Externí odkaz:
https://doaj.org/article/4e08b824ffce42a0ba4600ebd843d2c2
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 16, Iss 1, Pp 167-182 (2024)
The network of Himalayan roadways and highways connects some remote regions of valleys or hill slopes, which is vital for India's socio-economic growth. Due to natural and artificial factors, frequency of slope instabilities along the networks has be
Externí odkaz:
https://doaj.org/article/fcfc75686c9a461ea832ab6be7cd418b
Publikováno v:
Sensors, Vol 24, Iss 19, p 6320 (2024)
The geological condition monitoring and identification based on TBM-equipped sensors is of great significance for efficient and safe tunnel construction. Full-scale rotary cutting experiments are carried out using tunnel-boring machine disc cutters.
Externí odkaz:
https://doaj.org/article/22e96d68dae349708a190b4f1ac2a7d6
Autor:
Gábor Somodi, Balázs Vásárhelyi
Publikováno v:
Geotechnics, Vol 3, Iss 4, Pp 1017-1032 (2023)
The most common classification method of drill cores is the Rock Quality Designation (RQD) value, which indicates the percentage of rock cores longer than 10 cm in a given core section. This core logging procedure is the basic parameter in the most u
Externí odkaz:
https://doaj.org/article/397eb23ac0a246798390e7e815a70f89
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 7074 (2024)
Accurate rock mass quality classification is crucial for the design and construction of underground projects. Traditional methods often rely on expert experience, introducing subjectivity, and struggle with complex geological conditions. Machine lear
Externí odkaz:
https://doaj.org/article/b9a6e1cccc974eec876db3484856126c
Autor:
Jian-Bin Li, Zu-Yu Chen, Xu Li, Liu-Jie Jing, Yun-Pei Zhang, Hao-Han Xiao, Shuang-Jing Wang, Wen-Kun Yang, Lei-Jie Wu, Peng-Yu Li, Hai-Bo Li, Min Yao, Li-Tao Fan
Publikováno v:
Underground Space, Vol 11, Iss , Pp 26-45 (2023)
This review discusses the application scenarios of the machine learning-supported performance prediction and the optimization efficiency of tunnel boring machines (TBMs). The rock mass quality ratings, which are based on the Chinese code for geologic
Externí odkaz:
https://doaj.org/article/6ee45313cc174ddcb3143c04e25d6357