Probabilistic Analysis of TBM Advance Rate Prediction Models

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Sardari Mohsen; zare shokrollah; Mazraehli Masoud

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Journal Paper

Paper Information

Journal: Amirkabir Journal of Civil Engineering Year:2021 | Volume:53 | Issue:3 Page(s): 935-954

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Information Journal Paper

Title

Probabilistic Analysis of TBM Advance Rate Prediction Models

Author(s)

Sardari Mohsen | zare shokrollah | Mazraehli Masoud

Keywords

Probability analysis

Uncertainty

Advance rate

Monte Carlo simulation

Certainty level

Abstract

The overall purpose of this study is to use probabilistic methods for the estimation of the advanced rate of full-face tunnel boring machines. To collect appropriate input parameters, Monte Carlo simulation was utilized. Then, the calculation phase was conducted applying established models on input data and probability density functions of output data were obtained. The results show that the average Advance rates calculated by QTBM and CSM models were closer to the average value of the actual Advance rates. In addition, using probabilistic methods in combination with TBM prediction models helps to estimate the range of Advance rates more confidently.

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APA: Copy

Sardari, Mohsen, zare, shokrollah, & Mazraehli, Masoud. (2021). Probabilistic Analysis of TBM Advance Rate Prediction Models. AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR), 53(3 ), 935-954. SID. https://sid.ir/paper/1008231/en

Vancouver: Copy

Sardari Mohsen, zare shokrollah, Mazraehli Masoud. Probabilistic Analysis of TBM Advance Rate Prediction Models. AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR)[Internet]. 2021;53(3 ):935-954. Available from: https://sid.ir/paper/1008231/en

IEEE: Copy

Mohsen Sardari, shokrollah zare, and Masoud Mazraehli, “Probabilistic Analysis of TBM Advance Rate Prediction Models,” AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR), vol. 53, no. 3 , pp. 935–954, 2021, [Online]. Available: https://sid.ir/paper/1008231/en

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