INTRODUCING NEW EQUATION FOR PREDICTING PENETRATION RATE OF TUNNEL BORING MACHINE

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

HOSSEINI M.; HOSSEINI S.J.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR) Year:2017 | Volume:49 | Issue:2 Page(s): 313-322

Download Full-Text

Persian Verion

View:

1,465

Download:

549

Cites:

Information Journal Paper

Title

INTRODUCING NEW EQUATION FOR PREDICTING PENETRATION RATE OF TUNNEL BORING MACHINE

Author(s)

HOSSEINI M. | HOSSEINI S.J. | Issue Writer Certificate

Keywords

PENETRATION RATEQ1

TBMQ1

ROCKQ1

WATER CONVEYANCE TUNNELQ1

ZAGROS IQ1

Abstract

Tunnel Boring Machines (TBM) is among the most important machines for tunnel excavation purposes. Evaluation of the performance of these machines for excavation is of special importance due to the high cost of these machines. Prediction of the PENETRATION RATE is one of the indicators in evaluation of TBMs. There are various methods and equations for predicting the PENETRATION RATE, which are based on parameters related to the ROCK mass and specifications of the machine, and each of them has its own particular characteristics. Multivariable linear regressions, artificial neural networks, and adaptive neuro-fuzzy inference systems are among the highly efficient modeling and data pattern recognition methods. In this research, some equations have been proposed for predicting the PENETRATION RATE in ZAGROS I Tunnel by employing multivariable linear regression method and by considering the key parameters of the ROCK mass and the specifications of the TBM; the best equation was selected according to the results of statistical analysis. For verifying the validity of this equation, the PENETRATION RATE was calculated at certain parts of Ghomrood Tunnel. In comparison with the real values and results of other models, the outcomes of calculations indicated that predicted values for the PENETRATION RATE are of acceptable accuracy.

Cites

No record.

References

No record.

Cite

APA: Copy

HOSSEINI, M., & HOSSEINI, S.J.. (2017). INTRODUCING NEW EQUATION FOR PREDICTING PENETRATION RATE OF TUNNEL BORING MACHINE. AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR), 49(2 ), 313-322. SID. https://sid.ir/paper/165834/en

Vancouver: Copy

HOSSEINI M., HOSSEINI S.J.. INTRODUCING NEW EQUATION FOR PREDICTING PENETRATION RATE OF TUNNEL BORING MACHINE. AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR)[Internet]. 2017;49(2 ):313-322. Available from: https://sid.ir/paper/165834/en

IEEE: Copy

M. HOSSEINI, and S.J. HOSSEINI, “INTRODUCING NEW EQUATION FOR PREDICTING PENETRATION RATE OF TUNNEL BORING MACHINE,” AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR), vol. 49, no. 2 , pp. 313–322, 2017, [Online]. Available: https://sid.ir/paper/165834/en

Related Journal Papers