Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mohammad Hossein Arbabsiar"'
Publikováno v:
Rudarsko-geološko-naftni Zbornik, Vol 35, Iss 2, Pp 1-14 (2020)
This study aims to analyze the level of geotechnical risks and predict the advance rate in rock Tunnel Boring Machine (TBM) tunnelling, using a multi-stage fuzzy logic modelling. Twelve parameters, affecting the geotechnical hazard scenario occurrenc
Externí odkaz:
https://doaj.org/article/4f744bf9bb0e49a3984614ecceeceae2
A NEW MODEL FOR PREDICTING THE ADVANCE RATE OF A TUNNEL BORING MACHINE (TBM) IN HARD ROCK CONDITIONS
Publikováno v:
Rudarsko-geološko-naftni Zbornik, Vol 35, Iss 2, Pp 57-74 (2020)
The prediction of the advance rate of a Tunnel Boring Machine (TBM) in hard rock conditions is one of the most important concerns for estimating the time and costs of a tunnel project. In this paper, in the first step, a model based on Rock Engineeri
Externí odkaz:
https://doaj.org/article/8cd26c2d68d14080ac55b291427caf87
Publikováno v:
Rudarsko-geološko-naftni Zbornik, Vol 35, Iss 2, Pp 57-74 (2020)
Rudarsko-geološko-naftni zbornik
Volume 35
Issue 2
Rudarsko-geološko-naftni zbornik
Volume 35
Issue 2
The prediction of the advance rate of a Tunnel Boring Machine (TBM) in hard rock conditions is one of the most important concerns for estimating the time and costs of a tunnel project. In this paper, in the first step, a model based on Rock Engineeri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aeb0dbce92a9ec67f6e3bef93343457
https://hrcak.srce.hr/file/344636
https://hrcak.srce.hr/file/344636