Articles | Volume 16, issue 6
https://doi.org/10.5194/nhess-16-1449-2016
https://doi.org/10.5194/nhess-16-1449-2016
Research article
 | 
17 Jun 2016
Research article |  | 17 Jun 2016

An approach using multi-factor combination to evaluate high rocky slope safety

Huaizhi Su, Meng Yang, and Zhiping Wen

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Cited articles

Abdalla, J. A., Attom, M. F., and Hawileh, R.: Prediction of minimum factor of safety against slope failure in clayey soils using artificial neural network, Environ. Earth Sci., 73, 5463–5477, 2015.
Abdul-Rahman, H., Wang, C., and Lee, Y. L.: Design and pilot run of fuzzy synthetic model (FSM) for risk evaluation civil engineering, J. Civ. Eng. Manage., 19, 217–238, 2013.
Bahsan, E., Liao, H. J., and Ching, J.: Statistics for the calculated safety factors of undrained failure slopes, Eng. Geol., 172, 85–94, 2014.
Belton, V. and Stewart, T. J.: Multiple attributes decision analysis: An integrated approach, Kluwer Academic, Dordrecht, 2002.
Bitarafan, M., Hashemkhani Zolfani, S., Arefi, S. L., and Zavadskas, E. K: Evaluating the construction methods of cold-formed steel structures in reconstructing the areas damaged in natural crises, using the methods AHP and COPRAS-G, Arch. Civ. Mech. Eng., 12, 360–367, 2012.
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Short summary
We built a multi-criteria intelligent evaluation model to measure high rocky slope safety. An integrated method is proposed to weaken the subjective effect on the evaluation process. The quantitative and qualitative evaluation for high slope safety can be fulfilled.
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