CV


Hadi Farhadian

Hadi Farhadian

Associate Professor

عضو هیئت علمی تمام وقت

Faculty: Engineering

Department: Mining Engineering

Degree: Ph.D

CV
Hadi Farhadian

Associate Professor Hadi Farhadian

عضو هیئت علمی تمام وقت
Faculty: Engineering - Department: Mining Engineering Degree: Ph.D |

Dr. Hadi Farhadian is an Associate Professor in the Department of Mining Engineering at the University of Birjand and a researcher in the fields of mineral exploration engineering, hydrogeology, and geomechanics. He obtained his Ph.D. in Mineral Exploration Engineering from Amirkabir University of Technology and has international research experience at the University of Basel and ETH Zurich. Dr. Farhadian’s research interests include numerical modeling, geostatistics, geomechanics, groundwater flow, and data mining. He has published numerous articles in reputable international journals and, in addition to his teaching and research activities, has played an active role in academic administration and innovation.

نمایش بیشتر

Development of a New Empirical Method to Tunnel Squeezing Classification (TSC)

AuthorsHadi Farhadian,Arash Nikvar-Hassani
JournalQuarterly Journal of Engineering Geology and Hydrogeology
Page number655-660
Serial number53
Volume number4
Paper TypeFull Paper
Published At2020
Journal GradeISI
Journal TypeTypographic
Journal CountryIran, Islamic Republic Of
Journal IndexJCR،Scopus

Abstract

Characterization of squeezing phenomena as a geological hazard is of great importance since it has a critical role in the selection of the tunnel route, type, and characteristics of the excavation device. Also, it is known as the basis for the designation and construction of tunneling related structures. This study presents a new tunnel squeezing classification (TSC) tool to predict tunnel squeezing based on two parameters; Q, tunneling quality index, and H, depth of the tunnel. The database collected from the literature, including 225 case histories obtained from different countries such as Andorra, Iran, India, Nepal, Japan, Spain, Venezuela, and Turkey, used to train the TSC model. Validation of the model indicated that TSC is more accurate than speculative and analytical methods currently in use. The proposed model helps tunneling experts to classify the media from a squeezing hazard point of view

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