Application of Artificial Neural Network for Stability Analysis of Undercut Slopes

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SARFARAZ HASSAN; KHOSRAVI MOHAMMAD HOSSEIN; PIPATPONGSA THIRAPONG; BAKHSHANDEH AMNIEH HASSAN

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Journal Paper

Paper Information

Journal: International Journal of Mining and Geo-Engineering Year:2021 | Volume:55 | Issue:1 Page(s): 1-6

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Information Journal Paper

Title

Application of Artificial Neural Network for Stability Analysis of Undercut Slopes

Author(s)

SARFARAZ HASSAN | KHOSRAVI MOHAMMAD HOSSEIN | PIPATPONGSA THIRAPONG | BAKHSHANDEH AMNIEH HASSAN | Issue Writer Certificate

Keywords

Undercut Slope

Numerical Modeling

Artificial Neural Network

Multi-layer Perceptron Model

Abstract

One of the significant tasks in Undercut Slopes is determining the maximum stable undercut span. According to the arching effect theory, undercut excavations cause the weight of the slope to be transmitted to the adjacent stable regions of the slope, which will increase the stability of the slope. In this research, determining the maximum width of Undercut Slopes was examined through Numerical Modeling in the FLAC3D software. For this purpose, a series of Undercut Slope numerical models, with various slope angles, horizontal acceleration coefficients, and counterweight balance widths was conducted, and the results were validated using the corresponding experimental test results. The effect of each parameter on the maximum stable undercut span was investigated with an Artificial Neural Network, where a multi-layer perceptron (MLP) model was performed. The results showed good accuracy of the proposed MLP model in the prediction of the maximum stable undercut span. In addition, a sensitivity analysis demonstrated that the dip angle and horizontal acceleration coefficient were the most and least effective input variables on the maximum stable undercut span, respectively.

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APA: Copy

SARFARAZ, HASSAN, KHOSRAVI, MOHAMMAD HOSSEIN, PIPATPONGSA, THIRAPONG, & BAKHSHANDEH AMNIEH, HASSAN. (2021). Application of Artificial Neural Network for Stability Analysis of Undercut Slopes. INTERNATIONAL JOURNAL OF MINING AND GEO-ENGINEERING, 55(1), 1-6. SID. https://sid.ir/paper/987258/en

Vancouver: Copy

SARFARAZ HASSAN, KHOSRAVI MOHAMMAD HOSSEIN, PIPATPONGSA THIRAPONG, BAKHSHANDEH AMNIEH HASSAN. Application of Artificial Neural Network for Stability Analysis of Undercut Slopes. INTERNATIONAL JOURNAL OF MINING AND GEO-ENGINEERING[Internet]. 2021;55(1):1-6. Available from: https://sid.ir/paper/987258/en

IEEE: Copy

HASSAN SARFARAZ, MOHAMMAD HOSSEIN KHOSRAVI, THIRAPONG PIPATPONGSA, and HASSAN BAKHSHANDEH AMNIEH, “Application of Artificial Neural Network for Stability Analysis of Undercut Slopes,” INTERNATIONAL JOURNAL OF MINING AND GEO-ENGINEERING, vol. 55, no. 1, pp. 1–6, 2021, [Online]. Available: https://sid.ir/paper/987258/en

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