DATA INTEGRATION TECHNIQUE BY SIMULATED ANNEALING FOR CHARACTERIZATION OF ROCK MASS
At the planning and design stages of an underground space or tunneling project, the information regarding ground conditions is very important to enhance economical efficiency and overall safety. In general, the information can be expressed using rock mass classification such as RMR (Bieniawski, 1984) and Q-system (Barton et al., 1974) and with the geophysical exploration image. Rock mass classifications using borehole data can provide direct information of the rock mass in a local scale for the design scheme. Oppositely, the image of geophysical exploration can provide exhaustive but indirect information. These two types of information have inherent uncertainties from various sources and are given in different empirical scales and with their own physical meanings. In this study, simulated annealing (SA) is applied to overcome the shortcomings of kriging methods or conditional simulations using just a primary variable. Using this technique, the RMR and the image of geophysical exploration can be integrated to construct the spatial distribution of the RMR and to evaluate its uncertainty. A practical procedure of SA for the uncertainty evaluation of the RMR is suggested and also demonstrated through an application, where it is used to identify the spatial distribution of RMR and quantify its uncertainty. For a geotechnical application, the objective functions of SA are defined using statistical and spatial models of RMR and the correlations between RMR and the geophysical image. The applicability and validity of this technique are examined using the result of the uncertainty evaluation for the optimization of a tunnel layout.
DONG-WOO RYU CHUNG-IN LEE
Korea Institute of Geoscience and Mineral Resources,Daejeon, 305-350, Korea Seoul National University,Seoul, 151-743, Korea
国际会议
三亚
英文
157-164
2009-05-24（万方平台首次上网日期，不代表论文的发表时间）