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

2019 ◽  
Vol 16 (1) ◽  
pp. 49-57 ◽  
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

scholarly journals The Preparation of H13 Steel for TBM Cutter and the Performance Test Close to Working Condition

2018 ◽  
Vol 8 (10) ◽  
pp. 1877 ◽  
Author(s):  
Yong Hu ◽  
Jiyu Tian ◽  
Mingxu Xu ◽  
Hongwei Zhao ◽  
Mingze Wang ◽  
...  
Keyword(s):  
Compression Strength ◽  
Performance Test ◽  
Working Condition ◽  
H13 Steel ◽  
Tunnel Boring Machines ◽  
Tunnel Boring ◽  
Disc Cutters ◽  
Boring Machines ◽  
Full Face ◽  
Tbm Cutter

The material of disc cutters is important to full-face tunnel boring machines (TBM). In recent years, disc cutters were optimized and tested by many scholars all around the world. H13(4Cr5MoSiV1) steel is widely used due to its excellent properties, especially in TBM disc cutters. In this paper, H13 steel with optimized composition was prepared and heat treatment. The high temperature compression of H13 steel was conducted at the temperatures ranging from 100 °C to 700 °C, with strain rate at 0.01 s−1. The stress-strain curves, Rockwell hardness and microstructure of H13 steel after compression were obtained and analyzed. The results showed that the compression strength and hardness decreased as the temperature increased; and the compression strength, hardness and ductility decreased rapidly between 600 °C and 700 °C, HR700 (the hardness of H13 steel at 700 °C) only reached 33.23 HRC. It is not recommended for TBM disc cutters to work in an environment over 600 °C.

scholarly journals Effect of Foam Parameters on Cohesionless Soil Permeability and Its Application to Prevent the Water Spewing

2020 ◽  
Vol 10 (5) ◽  
pp. 1787
Author(s):  
Xiong Zhou ◽  
Yuyou Yang
Keyword(s):  
Earth Pressure ◽  
Cohesionless Soil ◽  
Screw Conveyor ◽  
Soil Permeability ◽  
Tunnel Excavation ◽  
Tunnel Boring Machines ◽  
Foaming Agents ◽  
Tunnel Boring ◽  
Boring Machines

Water spewing from the screw conveyor often occurs in cohesionless soil strata below the groundwater level during tunnel excavation with earth pressure balanced (EPB) tunnel boring machines (TBM). Foaming agents have been extensively employed as soil conditioner during the use of EPB TBMs to change the properties of soil, and the conditioned soil, with its low permeability, was the key to reduce the frequency of water spewing. To determine effect of foam parameters on cohesionless soil permeability, the conditioned sand permeability under different foam liquid half-lives ( T hl ) foam expansion rates (FERs), and foam injection rates (FIRs) was tested. To verify the permeability test results, a case study was carried out to optimize the foam parameters for preventing water spewing. Based on these results, this paper suggests that high-stability foaming agents with a medium FER and FIR represent an effective way to reduce cohesionless soil permeability and to prevent water spewing.

Application of deep neural networks in predicting the penetration rate of tunnel boring machines

2019 ◽  
Vol 78 (8) ◽  
pp. 6347-6360 ◽  
Author(s):  
Mohammadreza Koopialipoor ◽  
Hossein Tootoonchi ◽  
Danial Jahed Armaghani ◽  
Edy Tonnizam Mohamad ◽  
Ahmadreza Hedayat
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Penetration Rate ◽  
Tunnel Boring Machines ◽  
Tunnel Boring ◽  
Boring Machines
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