Proceedings of the Korean Geotechical Society Conference (한국지반공학회:학술대회논문집)
- 2010.03a
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- Pages.1342-1348
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- 2010
Assessment of Factors affecting Steep-slope Failure using Artificial Neural Network
인공신경망을 활용한 급경사지 붕괴유발인자 평가
- Song, Young-Karb (National Institute for Disaster Prevention, NEMA) ;
- Oh, Jeong-Rim (National Institute for Disaster Prevention, NEMA) ;
- Park, Dug-Keun (National Institute for Disaster Prevention, NEMA) ;
- Son, Young-Jin (National Institute for Disaster Prevention, NEMA)
- Published : 2010.03.25
Abstract
Currently available evaluation checklists are developed for specific purposed using different parameters and items determined by different weighting factors. Those items with different weighting are sometimes said that they are based on the engineering judgement and leap of faith and, therefore, there is a limitation to adapt those checklists for slope-stability evaluation in the field. This study reviews factors affecting slope stability, analyze the relationship between those factors and slope failures using artificial neural network, and proposed a slope-stability evaluation model for adequate weighting for the factors.
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