scholarly journals Development and Application of an Intelligent Evaluation and Control Platform for Tunnel Smooth Blasting

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Baoping Zou ◽  
Zhanyou Luo ◽  
Jianxiu Wang ◽  
Lisheng Hu
Keyword(s):  
Mobile Platform ◽  
Evaluation Theory ◽  
Tunnel Boring Machines ◽  
Tunnel Boring ◽  
Java Language ◽  
History Of ◽  
Boring Machines ◽  
Smooth Blasting ◽  
Control Application ◽  
And Control

Many tunnels around the world are still being constructed by drilling and blasting because these methods have an unmatched degree of flexibility relative to machine excavations using tunnel boring machines. At present, a large gap exists between evaluation theory and the control application of tunnel smooth blasting (TSB) quality. In this study, a handheld mobile platform that is based on the Android system and is written in the Java language is proposed to evaluate and control the performance of TSB. The function of this handheld mobile platform mainly includes data input, data modification, data deletion, weight setting for smooth blasting evaluation, smooth blasting quality assessment, and smooth blasting quality control. Using the proposed mobile platform, end users can evaluate and control TSB quality after each blast. The proposed handheld mobile platform is also applied to the real case history of line 6 in Guangzhou, China.

scholarly journals A perspective of pipejacking works by tunnel boring machines in Hong Kong: part I – development, selection of design, operations and types of techniques

2021 ◽  
pp. 108-118
Author(s):  
Wilson W S Mok ◽  
Andrew S W Ng
Keyword(s):  
Hong Kong ◽  
Design Method ◽  
Tunnel Boring Machine ◽  
Tunnel Boring Machines ◽  
Tunnel Boring ◽  
Ground Conditions ◽  
History Of ◽  
Boring Machines ◽  
And Performance ◽  
Selection Of

In this paper, the history of pipejacking works by tunnel boring machines in Hong Kong, their development, selection of design method and tunnel boring machine (TBM), operations, length and alignment of a pipeline, types of techniques to suit different site constraints and ground conditions, and performance of the works are discussed. This paper should be read together with part II, which covers applications, problems encountered, cost and prospects.

Advance prediction method for rock mass stability of tunnel boring based on deep neural network of time series

2022 ◽  
pp. 095440622110616
Author(s):  
Huo Junzhou ◽  
Jia Guopeng ◽  
Liu Bin ◽  
Nie Shiwu ◽  
Liang Junbo ◽  
...  
Keyword(s):  
Rock Mass ◽  
Prediction Model ◽  
Real Time ◽  
Prediction Method ◽  
Tunnel Boring Machines ◽  
Tunnel Boring ◽  
Error Accumulation ◽  
Boring Machines ◽  
Advance Time ◽  
And Control

Geological layers excavated using tunnel boring machines are buried deeply and sampled difficultly, and the geological behavior exhibits high diversity and complexity. Excavating in uncertain geology conditions bears the risks of excessive damage to the equipment and facing geologic hazards. Many scholars have used various signals to predict the advance geology conditions, but accurate prediction of these conditions in real-time and without effecting operations has not been realized yet. In this article, based on a large amount of corresponding data, an advance prediction model of the rock mass category (RMC) is formulated. First, the problem is divided into two parts, which are modeled separately to reduce the complexity of design and training. Then, the two models are combined in a pre-trained model, which is retrained to as the final prediction model to avoid the problem of error accumulation. The final model can predict the advance RMC in real-time and without affecting operations. The accuracy of the prediction model reaches 99% at an advance time of 60 min. The advance RMC can be used to guide the selection of support modes and control parameters without additional detection equipment and excavation down-time.

scholarly journals Advancement simulation of tunnel boring machines

2012 ◽  
Author(s):  
Tobias Rahm ◽  
Kambiz Sadri ◽  
Christian Koch ◽  
Markus Thewes ◽  
Markus Konig
Keyword(s):  
Tunnel Boring Machines ◽  
Tunnel Boring ◽  
Boring Machines

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.

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