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Predicting the Failure of Slope by Mathematical Model  

Han Heui Soo (Dept. of Civil Engrg., Kumoh National Univ. of Technology)
Chang Ki Tae (Dept. of Civil Engrg., Kumoh National Univ. of Technology)
Publication Information
Journal of the Korean Geotechnical Society / v.21, no.2, 2005 , pp. 145-150 More about this Journal
Abstract
It is useful to select an appropriate mathematical model to predict landslide. Through observation and analysis of real-time measured time series, a reasonable mathematic model is chosen to do prediction of landslide. Two theoretical models, such as polynomial function and growth model, are suggested for the description and analysis of measured defermation from an active landslides. These models are applied herein to describe the main characteristics of defermation process for two types of landslide, namely polynomial and growth models. The TRS (tensiof rotation and settlement) sensors are applied to adopt two models, and the data analysis of two field (Neurpjae and Buksil) resulted in good coincidence between measured data and models.
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