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Information Journal Paper

Title

Sensitivity Analysis of Tbm Performance Prediction Models in Lar-Kalan Water Conveyance Tunnel

Pages

  15-17

Abstract

 Evaluation of TBM performance is very important in estimating the cost and time of a tunnel project. Sensitivity analysis of a model is performed to examine the influence of the input variables on the output variables. In this study, results variability of main models of TBM penetration rate (PR) prediction have been investigated based on the geological and field performance data at Lar-Kalan water conveyance tunnel. The overall results indicate that increase of thrust force, CLI, RPM, porosity, and fracturing factor and the decrease of Q value, quartz content, unconfined compressive strength, tensile strength, induced biaxial stress on tunnel face, and RQD increases the PR. Sensitivity analysis has been evaluated on the basis of the two Tornado and Spider charts for different models, and the effect of the input parameters variation on the variation of the PR have been investigated and the parameters that have the greatest influence on the PR were specified. Among the geological conditions, the variation of the Q value, porosity, UCS, RQD and among the machine parameters, variation of the thrust force and RPM have the greatest impact on the variation of the penetration rate in the project.

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  • Cite

    APA: Copy

    SARDARI, M., ZARE, SH., & Mazraeli, M.. (2021). Sensitivity Analysis of Tbm Performance Prediction Models in Lar-Kalan Water Conveyance Tunnel. JOURNAL OF MINERAL RESOURCES ENGINEERING, 5(4 ), 15-17. SID. https://sid.ir/paper/990972/en

    Vancouver: Copy

    SARDARI M., ZARE SH., Mazraeli M.. Sensitivity Analysis of Tbm Performance Prediction Models in Lar-Kalan Water Conveyance Tunnel. JOURNAL OF MINERAL RESOURCES ENGINEERING[Internet]. 2021;5(4 ):15-17. Available from: https://sid.ir/paper/990972/en

    IEEE: Copy

    M. SARDARI, SH. ZARE, and M. Mazraeli, “Sensitivity Analysis of Tbm Performance Prediction Models in Lar-Kalan Water Conveyance Tunnel,” JOURNAL OF MINERAL RESOURCES ENGINEERING, vol. 5, no. 4 , pp. 15–17, 2021, [Online]. Available: https://sid.ir/paper/990972/en

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