Research on Dust Migration Law and Dust Reduction Efficiency in the Operation Process of Tunnel Boring Machine

Author(s):  
Ning Liu ◽  
Kun Chen ◽  
Piao Jiang ◽  
Yi-Xiong Huang
2020 ◽  
Vol 140 (3) ◽  
pp. 320-325
Author(s):  
Yoshihiro Ohnishi ◽  
Takahisa Shigematsu ◽  
Takuma Kawai ◽  
Shinichi Kawamura ◽  
Noboru Oda

2016 ◽  
Vol 33 (3) ◽  
pp. 317
Author(s):  
Fei Wang ◽  
Mengbo Liu ◽  
Long Chen ◽  
Wen Liu ◽  
Linmeng Tang

Author(s):  
Gi-Jun Lee ◽  
Hee-Hwan Ryu ◽  
Tae-Hyuk Kwon ◽  
Gye-Chun Cho ◽  
Kyoung-Yul Kim ◽  
...  

2019 ◽  
Vol 32 (1) ◽  
Author(s):  
Ye Zhu ◽  
Wei Sun ◽  
Junzhou Huo ◽  
Zhichao Meng

AbstractThe accurate performance evaluation of a cutterhead is essential to improving cutterhead structure design and predicting project cost. Through extensive research, this paper evaluates the performance of a tunnel boring machine (TBM) cutterhead for cutting ability and slagging ability. This paper propose cutting efficiency, stability, and continuity of slagging as the evaluation indexes of comprehensive cutterhead performance. On the basis of research of true TBM engineering applications, this paper proposes a calculation method for each index. A slagging efficiency index with a ratio of the maximum difference between the slagging amount and average slagging is established. And a slagging stability index with a ratio of the maximum slagging fluctuation and average slagging is presented. Meanwhile, a cutting efficiency index by the weighed average value of multistage rock fragmentation of a cutter’s specific energy is established. The Robbins and China Railway Construction Corporation (CRCC) cutterheads are evaluated. The results show that under the same thrust and torque, the slagging stability of the CRCC scheme is worse, but the slagging continuity of the CRCC scheme is better. The cutting ability index shows that the CRCC cutterhead is more efficient.


Author(s):  
Oskar-H. Pekoll

<p>To deal with the high volume of traffic in the historic city center of Karlsruhe (Germany), the track system of the historic surface tram is moved underground.</p><p>First, seven underground stations are built, which are then connected by using a tunnel boring machine for excavation of the tracks. While the traffic continues on the surface, the new underground stations are being built in sections using the dig-and-cast construction method. Due to the high ground water level bore piles and diaphragm walls of reinforced concrete / concrete cut-off wall are used as excavation pit shoring. A grouted sealing blanket made using jet grouting processes serves as horizontal blanket.</p><p>The cover is made while the traffic continues overhead, to this end traffic routing of road and tram traffic is altered in several stages of construction. The subsequent removal of the soil is realized via this newly created tunnel system – this way no truck traffic has to pass through the city center.</p><p>The construction is a challenge to permit a limitation of the deformations in relation to the settlement of the immediately adjacent historic buildings and also in the logistics of the construction while keeping the traffic above ground running.</p>


2018 ◽  
Vol 10 (1) ◽  
pp. 168781401875472 ◽  
Author(s):  
Wei Sun ◽  
Xiaobang Wang ◽  
Maolin Shi ◽  
Zhuqing Wang ◽  
Xueguan Song

A multidisciplinary design optimization model is developed in this article to optimize the performance of the hard rock tunnel boring machine using the collaborative optimization architecture. Tunnel boring machine is a complex engineering equipment with many subsystems coupled. In the established multidisciplinary design optimization process of this article, four subsystems are taken into account, which belong to different sub-disciplines/subsytems: the cutterhead system, the thrust system, the cutterhead driving system, and the economic model. The technology models of tunnel boring machine’s subsystems are build and the optimization objective of the multidisciplinary design optimization is to minimize the construction period from the system level of the hard rock tunnel boring machine. To further analyze the established multidisciplinary design optimization, the correlation between the design variables and the tunnel boring machine’s performance is also explored. Results indicate that the multidisciplinary design optimization process has significantly improved the performance of the tunnel boring machine. Based on the optimization results, another two excavating processes under different geological conditions are also optimized complementally using the collaborative optimization architecture, and the corresponding optimum performance of the hard rock tunnel boring machine, such as the cost and energy consumption, is compared and analysed. Results demonstrate that the proposed multidisciplinary design optimization method for tunnel boring machine is reliable and flexible while dealing with different geological conditions in practical engineering.


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