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Çѱ¹Áö¹Ý°øÇÐȸ / v.25, no.12, 2009³â, pp.13-25
Áö¹Ý¹°¼ºÀÇ °ø°£Àû º¯µ¿¼ºÀ» °í·ÁÇÑ ÇѰèÆòÇü¹ý¿¡ ÀÇÇÑ È®·ü·ÐÀû »ç¸é¾ÈÁ¤ ÇØ¼®
( Probabilistic Stability Analysis of Slopes by the Limit Equilibrium Method Considering Spatial Variability of Soil Property )
Á¶¼ºÀº;¹ÚÇüÃá; Çѱ¹¼öÀÚ¿ø°ø»ç K-water ¿¬±¸¿ø;Ãæ³²´ëÇб³ Åä¸ñ°øÇаú;
 
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º» ¿¬±¸¿¡¼­´Â È®·ü·ÐÀû ÇØ¼®¿¡ Áö¹ÝÀÇ °ø°£Àû º¯µ¿¼ºÀ» °í·ÁÇϱâ À§ÇÑ ÇØ¼® ÀýÂ÷¸¦ Á¦½ÃÇÏ¿´´Ù. Á¦¾ÈµÈ ¹æ¹ýÀº ÇѰèÆòÇü¹ýÀ» ÀÌ¿ëÇÏ´Â °áÁ¤·ÐÀû ÇØ¼®¹æ¹ýÀ» Áö¹ÝÁ¤¼öÀÇ ºÒÈ®½Ç¼º°ú °ø°£Àû º¯µ¿¼ºÀ» °í·ÁÇÒ ¼ö ÀÖµµ·Ï È®·ü·ÐÀû »ç¸é¾ÈÁ¤ ÇØ¼®À¸·Î È®ÀåÇÑ´Ù. °³¹ßµÈ ¹æ¹ýÀº ·£´ýÀ¯ÇÑ¿ä¼ÒÇØ¼®¹ý°ú °°ÀÌ ¹Ì¸® ÀÓ°èÆÄ±«¸éÀ» °¡Á¤ÇÏÁö ¾ÊÀ¸¸é¼­µµ °è»ê½Ã°£À» ´ÜÃàÇÒ ¼ö ÀÖ´Ù´Â ÀåÁ¡ÀÌ ÀÖ´Ù. ÁöÁ¤µÈ ÀÔ·Â È®·üºÐÆ÷ÇÔ¼ö¿Í ÀÚ±â»ó°üÇÔ¼ö¸¦ µû¸£´Â 2Â÷¿øÀÇ ·£´ýÇʵ带 »ý¼ºÇϱâ À§ÇÏ¿© Karhunen-Lo$grave{e}$ve Àü°³¹ýÀ» »ç¿ëÇÏ¿´À¸¸ç, »ý¼ºµÈ ·£´ýÇʵ带 ÀÌ¿ëÇÏ¿© È®·ü·ÐÀû ÀÀ´äÀ» ¾ò±â À§ÇØ Monte Carlo ½Ã¹Ä·¹À̼ÇÀ» ¼öÇàÇÏ¿´´Ù. °³¹ßµÈ ÇØ¼®±â¹ýÀÇ Àû¿ë¼ºÀ» °ËÅäÇϰí Áö¹ÝÁ¤¼öÀÇ °ø°£Àû º¯È­°¡ È®·ü·ÐÀû ¾ÈÁ¤Çؼ®¿¡ ¹ÌÄ¡´Â ¿µÇâÀ» °ËÅäÇϱâ À§ÇØ ¿¹Á¦Çؼ®À» ¼öÇàÇÏ¿´À¸¸ç, ÇØ¼®°á°ú´Â Á¦¾ÈµÈ ¹æ¹ýÀÌ Áö¹Ý¹°¼ºÀÇ °ø°£Àû º¯µ¿¼º¿¡ µû¸¥ ´Ù¾çÇÑ »ç¸éÆÄ±« ÇüŸ¦ È®·ü·ÐÀû »ç¸é¾ÈÁ¤ ÇØ¼®¿¡ È¿°úÀûÀ¸·Î °í·ÁÇÒ ¼ö ÀÖÀ½À» º¸¿©ÁØ´Ù.
In this paper, a numerical procedure of probabilistic slope stability analysis that considers the spatial variability of soil properties is presented. The procedure extends the deterministic analysis based on the limit equilibrium method of slices to a probabilistic approach that accounts for the uncertainties and spatial variation of the soil parameters. Making no a priori assumptions about the critical failure surface like the Random Finite Element Method (RFEM), the approach saves the amount of solution time required to perform the analysis. Two-dimensional random fields are generated based on a Karhunen-Lo$grave{e}$ve expansion in a fashion consistent with a specified marginal distribution function and an autocorrelation function. A Monte Carlo simulation is then used to determine the statistical response based on the random fields. A series of analyses were performed to verify the application potential of the proposed method and to study the effects of uncertainty caused by the spatial heterogeneity on the stability of slope. The results show that the proposed method can efficiently consider the various failure mechanisms caused by the spatial variability of soil property in the probabilistic slope stability assessment.
 
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Karhunen-Lo$grave{e}$ve expansion;Monte-Carlo simulation;Probabilistic analysis;Slope stability;Spatial variability;
 
Çѱ¹Áö¹Ý°øÇÐȸ³í¹®Áý / v.25, no.12, 2009³â, pp.13-25
Çѱ¹Áö¹Ý°øÇÐȸ
ISSN : 1229-2427
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200919061726793)
¾ð¾î : Çѱ¹¾î
³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø
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