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http://dx.doi.org/10.5762/KAIS.2012.13.4.1480

Failure Load Prediction of Tunnel Support using DOE and Optimization Algorithm  

Lee, Dong-Woo (Division of Automotive & Mechanical Engineering, Changwon Moonsung University)
Cho, Seok-Swoo (Dept. of Vehicle Engineering, Kangwon National University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.13, no.4, 2012 , pp. 1480-1487 More about this Journal
Abstract
Recently, the safety of the coal-mining tunnels has been improved greatly, but accidents occur continually. Most tunnel support failures occur because the fish plate part that connects the I-beams is unable to withstand ground pressure. In the case of XX coal mine, the arch part of tunnel support bends to the upper direction. In such a case, excessive horizontal load as well as vertical load acts on the tunnel support. Horizontal load is caused by the sudden loosing of underground rock mass or the leakage of underground water, so it is fairly complex to predict horizontal loading on a tunnel support. To predict the horizontal load on this component is defined as the problem that determines the horizontal load conditions in wedges of tunnel support. This is an optimization problem in which maximum bending stress and horizontal load are considered by an objective function and design variables, respectively. Therefore, in this study, design of experiments and optimization algorithm were applied to identify the horizontal load in tunnel support.
Keywords
Design of experiments(DOE); Desirability function; Fish plate; I-beam; Stability; Tunnel support;
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