INFLUENCE ANALYSIS OF ROCK MECHANICAL PARAMETERS ON THE TBM PENETRATING RATE
DOI:
https://doi.org/10.14311/CEJ.2019.01.0002Klíčová slova:
TBM; Penetrating rate; Rock mechanical parameters; Discrete element model; Least squares methodAbstrakt
To study the influences of rock mechanical parameters on the penetrating rate of a tunnel boring machine (TBM), a 3D discrete element model, namely, 3D distinct element code (3DEC), was used to build simulated models on rock fragments using a TBM cutter based on the geological conditions of the west route of the South-to-North Water Transfer Project. The change rule of the TBM penetrating rate caused by different rock mechanical parameters was analyzed. The line graph of the relationship between the TBM penetrating rate and rock mechanical parameters was fitted using the least squares method. Results show that the TBM penetrating rate will decrease with an increase in uniaxial compressive strength and elastic modulus. By contrast, it will increase with an increase in rock Poisson’s ratio. This finding is in accordance with the result of the finished project. A numerical foundation was provided for the TBM tunneling of diversion tunnels in the west route of the South-to-North Water Transfer Project.
Stažení
Reference
Science and Technology Extension Center of the Ministry of water resources. Tunnel Boring Machine[M]. Beijing. Petroleum Industry Press. 2005:1-2.
Mengshu Wang, Dianhuang Li. Construction and engineering example of rock tunnel boring machine[M]. China Railway Press. 2015:131-132.
Jinying Qu. The present situation and future development of TBM tunnel construction[J]. Tunnel construction. 2002, 22(4): 60-63.
Qiu ming GONG，Jian ZHAO，Yu-yong JIAO. Numerical modeling of the effects of joint orientationation on rock fragmentation by TBM cutters[J]. Tunneling and Underground Space Technology, 2005, (20):183－191.
Lijun Su, Jinshan sun. Numerical simulation of rock breaking process of TBM based on particle flow model[J]. Geotechnical Mechanics. 2016，20(9)：2823-2829.
Weibing Li, Bin Liu. Analysis of geological factors affecting the selection of TBM[J]. Hydroelectric Power Generation. 2009，35(8)：25-27.
Faliang He, Shichun Wang. Research and development of classification method for surrounding rock of railway tunnel[J]. Journal of Railway Engineering Society. 2015：392-397.
Hua Luo, Tao Feng. Correlation analysis between rock abrasion resistance and rock strength based on TBM construction[J]. Geotechnical engineering. 2008，28(1)：104-105.
Sen Wen, Yanxi Zhao. Prediction of TBM driving speed based on Monte Carlo-BP neural network[J]. Geotechnical Mechanics. 2009，30(10)：3127-3132.
Songjun Qin. Determination of rock characteristics during tunneling of tunnel boring machine[J]. 2016，(8)：2-4.
Faliang He, Shichun Wang. Research and development of classification method for surrounding rock of railway tunnel[J]. Journal of Railway Engineering. 2005，12：392-397.
Stahování
Publikováno
Jak citovat
Číslo
Sekce
Licence
Tato práce je licencována pod Mezinárodní licencí Creative Commons Attribution-NonCommercial 4.0.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
¨
