Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Maryam Parsajoo"'
Autor:
Maryam Parsajoo, Ahmed Salih Mohammed, Saffet Yagiz, Danial Jahed Armaghani, Manoj Khandelwal
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 13, Iss 6, Pp 1290-1299 (2021)
Field penetration index (FPI) is one of the representative key parameters to examine the tunnel boring machine (TBM) performance. Lack of accurate FPI prediction can be responsible for numerous disastrous incidents associated with rock mechanics and
Externí odkaz:
https://doaj.org/article/7df2772a3dc84a5483e43152ea30e8d6
Publikováno v:
Neural Computing and Applications. 34:3263-3281
When planning rock-based projects, the brittleness index (BI) may play a significant role in the success of various projects, such as tunnel boring machines and road headers. Lack of accurate BI prediction of the rock sample may result in numerous di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff08039bad2d70a4f11e71550b5628e4
https://doi.org/10.1007/s00521-021-06600-8
https://doi.org/10.1007/s00521-021-06600-8
Publikováno v:
Transportation Geotechnics. 31:100652
Tensile strength of rock plays a significant role in the design of tunnels and underground engineering projects. Due to the inefficiency of direct method in determining rock tensile strength, the use of non-destructive tests has become a new directio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b04e162fdf806c1530327814fc5bf03
https://doi.org/10.1016/j.trgeo.2021.100652
https://doi.org/10.1016/j.trgeo.2021.100652
Publikováno v:
Geomechanics & Geoengineering; Nov2024, Vol. 19 Issue 6, p1113-1125, 13p
Autor:
Parsajoo, Maryam1 (AUTHOR), Armaghani, Danial Jahed2 (AUTHOR) danialarmaghani@susu.ru, Asteris, Panagiotis G.3 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Feb2022, Vol. 34 Issue 4, p3263-3281. 19p.