Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Satar Mahdevari"'
Autor:
Satar Mahdevari, Mohammad Hayati
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-22 (2021)
Abstract Designing a suitable support system is of great importance in longwall mining to ensure the safe and stable working conditions over the entire life of the mine. In high-speed mechanized longwall mining, the most vulnerable zones to failure a
Externí odkaz:
https://doaj.org/article/1e8d239c33214859b1e6a275b6c38715
Autor:
Mohammad Khodabakhshi, Satar Mahdevari
Publikováno v:
Neural Computing and Applications. 33:14909-14928
An explicit challenge for mine productivity and personnel’s safety in mechanized underground mines is to envisage the uncontrolled roof displacements, usually occurred in underground roadways. For this purpose, support systems are to be installed t
Publikováno v:
Resources Policy. 80:103287
Autor:
Satar Mahdevari
Publikováno v:
Arabian Journal of Geosciences. 14
Tailgate stability in a mechanized longwall mine is serious to mine productivity and personnel’s safety. Although the stability of both roadways is critical in longwall mining, the tailgate is subjected to higher stresses and deformations than the
Autor:
Mohammad Khodabakhshi, Satar Mahdevari
Publikováno v:
Tunnelling and Underground Space Technology. 117:104167
The problem of roof failure in underground coal mines is responsible for many fatalities, injuries, downtimes, and delays in production planning. Currently, the support systems in underground roadways are mainly designed based on the miners’ experi
Autor:
Satar Mahdevari
World coal production in recent years has reached almost 8 billion tonnes per year. At this rate, coal and methane gas released from coal are likely to remain a dominant source of energy for decades. Raw coal includes impurities; however, methane gas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f70146a2006cdf29ed9bcdffbfec3238
https://doi.org/10.1016/b978-0-08-101288-8.00010-9
https://doi.org/10.1016/b978-0-08-101288-8.00010-9
Autor:
Angelina Anani, Kwame Awuah-Offei, Amanda S. Azman, Jürgen F. Brune, Hugo E. Camargo, Y. Paul Chugh, Joseph DuCarme, Emmanuel Ewusie, Argyle Douglas Stewart Gillies, R. Larry Grayson, Lori Guasta, Tom Hethmon, Joseph C. Hirschi, Jason A. Hubbart, Muhammad Usman Khan, David R. Lauriski, Satar Mahdevari, Louis M. McDonald, J. Shawn Peterson, Steven J. Schafrik, Jeff Skousen, Aaron S. Young, Paul F. Ziemkiewicz, Carl E. Zipper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae7a5762afed068f2586a6d08d955a60
https://doi.org/10.1016/b978-0-08-101288-8.09990-9
https://doi.org/10.1016/b978-0-08-101288-8.09990-9
Publikováno v:
Neural Computing and Applications. 28:3537-3555
Roadways stability in longwall coal mining is critical to mine productivity and safety of the personnel. In this regard, a typical challenge in longwall mining is to predict roadways stability equipped with a reliable support system in order to ensur
Publikováno v:
SDRP Journal of Earth Sciences & Environmental Studies. 2
Publikováno v:
Science of The Total Environment. :85-99
The scrutiny of health and safety of personnel working in underground coal mines is heightened because of fatalities and disasters that occur every year worldwide. A methodology based on fuzzy TOPSIS was proposed to assess the risks associated with h