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Çѱ¹Áö¹Ý°øÇÐȸ / v.21, no.2, 2005³â, pp.145-150
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( Predicting the Failure of Slope by Mathematical Model ) |
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| »ç¸é ºØ±«¸¦ ¿¹ÃøÇϱâ À§Çؼ Àû´çÇÑ ¼öÇÐÀû ¸ðµ¨À» ¼±ÅÃÇÏ´Â °ÍÀº ¸Å¿ì À¯¿ëÇÏ´Ù. ½Ã°£¿·Î ½Ç½Ã°£ °èÃøµÈ ÀڷḦ ÅëÇÏ¿© ÇÕ¸®ÀûÀÎ »ç¸éºØ±« ¿¹Ãø¿ë ¼öÇиðµ¨À» ¼±Á¤ÇÒ¼ö ÀÖ´Ù. 3Â÷ ¹æÁ¤½ÄÀ» ÀÌ¿ëÇÑ2°¡Áö ÇüÅÂÀÇ ÀÌ·ÐÀû ¸ðµ¨ÀÌ ÀÌ ¿¬±¸¿¡¼ »ç¿ëµÇ¾ú´Ù(Polynomial ¹× GrowthÇü). »ç¸éÀÇ º¯À§°¢ ¹× ħÇϸ¦ °èÃøÇÒ ¼ö ÀÖ´Â °èÃø±â°¡ ´À¸¨Àç ¹× ºÏ½Ç ÇöÀå¿¡ Àû¿ëµÇ¾î ¸ðµ¨ÀÇ Àû¿ë°¡´É¼ºÀ» Á¡°ËÇÏ¿´´Ù. ±× °á°ú °èÃø ÀÚ·á¿Í µÎ °¡Áö ¼öÇи𵨰ú ¾ÆÁÖ ³ôÀº ÀÏÄ¡¼ºÀ» º¸¿´´Ù. |
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| 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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Çѱ¹Áö¹Ý°øÇÐȸ³í¹®Áý / v.21, no.2, 2005³â, pp.145-150
Çѱ¹Áö¹Ý°øÇÐȸ
ISSN : 1229-2427
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200502636840726)
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| ³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø |
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