Study of common wear prediction models for hard rock TBM disc cutters and comparison with field observation in Kerman water conveyance tunnel

Bulletin of Engineering Geology and the Environment ◽

10.1007/s10064-020-01987-5 ◽

2020 ◽

Author(s):

Morteza Karami ◽

Shokrollah Zare ◽

Jamal Rostami

Keyword(s):

Field Observation ◽

Prediction Models ◽

Hard Rock ◽

Wear Prediction ◽

Disc Cutters ◽

Water Conveyance ◽

Kerman Water ◽

Hard Rock Tbm ◽

Water Conveyance Tunnel

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TBM performance analysis in very strong and massive rocks; case study: Kerman water conveyance tunnel project, Iran

Geomechanics and Geoengineering ◽

10.1080/17486025.2021.1912410 ◽

2021 ◽

pp. 1-13

Author(s):

Seyed Mahdi Pourhashemi ◽

Kaveh Ahangari ◽

Jafar Hassanpour ◽

Seyed Mosleh Eftekhari

Keyword(s):

Performance Analysis ◽

Tbm Performance ◽

Water Conveyance ◽

Kerman Water ◽

Water Conveyance Tunnel

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Determining the origin of groundwater elements using hydrochemical data (case study: Kerman water conveyance tunnel)

Environmental Earth Sciences ◽

10.1007/s12665-019-8182-7 ◽

2019 ◽

Vol 78 (6) ◽

Cited By ~ 3

Author(s):

Amir Saberinasr ◽

Massoud Morsali ◽

Arash Hashemnejad ◽

Jafar Hassanpour

Keyword(s):

Hydrochemical Data ◽

Water Conveyance ◽

Kerman Water ◽

Water Conveyance Tunnel

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The Practice of Forward Prospecting of Adverse Geology Applied to Hard Rock TBM Tunnel Construction: The Case of the Songhua River Water Conveyance Project in the Middle of Jilin Province

Engineering ◽

10.1016/j.eng.2017.12.010 ◽

2018 ◽

Vol 4 (1) ◽

pp. 131-137 ◽

Cited By ~ 7

Author(s):

Shucai Li ◽

Lichao Nie ◽

Bin Liu

Keyword(s):

River Water ◽

Hard Rock ◽

Jilin Province ◽

Tunnel Construction ◽

Songhua River ◽

Water Conveyance ◽

Hard Rock Tbm ◽

The Songhua River

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Tracking of disc cutter wear in TBM tunneling: a case study of Kerman water conveyance tunnel

Bulletin of Engineering Geology and the Environment ◽

10.1007/s10064-020-01931-7 ◽

2020 ◽

Vol 80 (1) ◽

pp. 201-219

Author(s):

Morteza Karami ◽

Shokrollah Zare ◽

Jamal Rostami

Keyword(s):

Disc Cutter ◽

Cutter Wear ◽

Water Conveyance ◽

Kerman Water ◽

Disc Cutter Wear ◽

Water Conveyance Tunnel

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Introducing an empirical model for prediction of disc cutter life for TBM application in jointed rocks: case study, Kerman water conveyance tunnel

Bulletin of Engineering Geology and the Environment ◽

10.1007/s10064-021-02166-w ◽

2021 ◽

Author(s):

Morteza Karami ◽

Shokrollah Zare ◽

Jamal Rostami

Keyword(s):

Empirical Model ◽

Disc Cutter ◽

Cutter Life ◽

Jointed Rocks ◽

Water Conveyance ◽

Kerman Water ◽

Water Conveyance Tunnel

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Introduction of an empirical TBM cutter wear prediction model for pyroclastic and mafic igneous rocks; a case history of Karaj water conveyance tunnel, Iran

Tunnelling and Underground Space Technology ◽

10.1016/j.tust.2014.05.007 ◽

2014 ◽

Vol 43 ◽

pp. 222-231 ◽

Cited By ~ 37

Author(s):

J. Hassanpour ◽

J. Rostami ◽

S. Tarigh Azali ◽

J. Zhao

Keyword(s):

Prediction Model ◽

Case History ◽

Igneous Rocks ◽

Wear Prediction ◽

Cutter Wear ◽

History Of ◽

Water Conveyance ◽

Tbm Cutter ◽

Water Conveyance Tunnel

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Evaluation of common TBM performance prediction models based on field data from the second lot of Zagros water conveyance tunnel (ZWCT2)

Tunnelling and Underground Space Technology ◽

10.1016/j.tust.2015.12.006 ◽

2016 ◽

Vol 52 ◽

pp. 147-156 ◽

Cited By ~ 21

Author(s):

J. Hassanpour ◽

A.A. Ghaedi Vanani ◽

J. Rostami ◽

A. Cheshomi

Keyword(s):

Performance Prediction ◽

Field Data ◽

Prediction Models ◽

Tbm Performance ◽

Water Conveyance ◽

Water Conveyance Tunnel

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Application of block theory for evaluating face stability under disc cutters loading of TBM, case study of a water-conveyance tunnel project

Tunnelling and Underground Space Technology ◽

10.1016/j.tust.2019.05.002 ◽

2019 ◽

Vol 90 ◽

pp. 249-263 ◽

Cited By ~ 1

Author(s):

Zixin Zhang ◽

Shuaifeng Wang ◽

Xin Huang ◽

Jamal Rostami

Keyword(s):

Face Stability ◽

Block Theory ◽

Disc Cutters ◽

Water Conveyance ◽

Water Conveyance Tunnel

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Disc cutter wear prediction for a hard rock TBM cutterhead based on energy analysis

Tunnelling and Underground Space Technology ◽

10.1016/j.tust.2015.08.003 ◽

2015 ◽

Vol 50 ◽

pp. 324-333 ◽

Cited By ~ 36

Author(s):

Lihui Wang ◽

Yilan Kang ◽

Xiangjun Zhao ◽

Qian Zhang

Keyword(s):

Energy Analysis ◽

Hard Rock ◽

Disc Cutter ◽

Wear Prediction ◽

Cutter Wear ◽

Hard Rock Tbm ◽

Disc Cutter Wear

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Prediction of the Penetration Rate and Number of Consumed Disc Cutters of Tunnel Boring Machines (TBMs) Using Artificial Neural Network (ANN) and Support Vector Machine (SVM)—Case Study: Beheshtabad Water Conveyance Tunnel in Iran

Asian Journal of Water Environment and Pollution ◽

10.3233/ajw190006 ◽

2019 ◽

Vol 16 (1) ◽

pp. 49-57 ◽

Cited By ~ 3

Author(s):

Alireza Afradi ◽

Arash Ebrahimabadi ◽

Tahereh Hallajian

Keyword(s):

Penetration Rate ◽

Support Vector ◽

Tunnel Boring Machines ◽

Tunnel Boring ◽

Disc Cutters ◽

Water Conveyance ◽

Boring Machines ◽

Artificial Neural Network Ann ◽

Water Conveyance Tunnel

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