Select a support system of tunnels has an important role safety and economic status. This choice usually based on experience of designer engineers. But the question is always whether the best choice has been done?. In this study, Linear Assignment (LA) as the one of the most important method of multiple Attribute decision making (MADM), to select optimum support system of tunnels has been used. In this way the tunnel support system selection as a multi attribute decision making has been considered and the criteria for selection optimum support system include: support cost, safety factor, applicability, time installation, displacement and capable of mechanization. For this purpose, first, using the finite difference numerical method) FLAC2D (, various support systems based on technical parameters and stability of the tunnel has been identified. Then based on considered criteria, using the aforementioned optimum support system has been selected.
rafeei, R. , Ataeei, M. , Jalali, S. M. E. and Hayaty, M. (2014). The appropriate support system assessment & selection for tunnel using LA method. Journal of Analytical and Numerical Methods in Mining Engineering, 4(7), 1-8.
MLA
rafeei, R. , , Ataeei, M. , , Jalali, S. M. E. , and Hayaty, M. . "The appropriate support system assessment & selection for tunnel using LA method", Journal of Analytical and Numerical Methods in Mining Engineering, 4, 7, 2014, 1-8.
HARVARD
rafeei, R., Ataeei, M., Jalali, S. M. E., Hayaty, M. (2014). 'The appropriate support system assessment & selection for tunnel using LA method', Journal of Analytical and Numerical Methods in Mining Engineering, 4(7), pp. 1-8.
CHICAGO
R. rafeei , M. Ataeei , S. M. E. Jalali and M. Hayaty, "The appropriate support system assessment & selection for tunnel using LA method," Journal of Analytical and Numerical Methods in Mining Engineering, 4 7 (2014): 1-8,
VANCOUVER
rafeei, R., Ataeei, M., Jalali, S. M. E., Hayaty, M. The appropriate support system assessment & selection for tunnel using LA method. Journal of Analytical and Numerical Methods in Mining Engineering, 2014; 4(7): 1-8.
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