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Çѱ¹Áö¹Ý°øÇÐȸ / v.24, no.8, 2008³â, pp.111-123
Áö¹ÝÀÇ °ø°£Àû º¯µ¿¼ºÀ» °í·ÁÇÑ È®·ü·ÐÀû ÇØ¼®±â¹ý¿¡ °üÇÑ ¿¬±¸
( A Study on the Probabilistic Analysis Method Considering Spatial Variability of Soil Properties )
Á¶¼ºÀº;¹ÚÇüÃá; Çѱ¹¼öÀÚ¿ø°ø»ç ¼öÀÚ¿ø¿¬±¸¿ø;Ãæ³²´ëÇб³ Åä¸ñ°øÇаú;
 
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Áö¹Ý°øÇÐ ¹®Á¦´Â ¸¹Àº ºÒÈ®½ÇÇÑ ¿äÀÎÀ» ³»Æ÷ÇÑ´Ù. ÀÌ·¯ÇÑ ºÒÈ®½Ç¼º Áß ÀÏºÎ´Â ÇØ¼® ¼öÇà°úÁ¤¿¡ ÇÊ¿äÇÑ Áö¹Ý ¹°¼ºÀÇ º¯µ¿¼º°ú °ü·ÃÀÌ ÀÖ´Ù. º» ¿¬±¸¿¡¼­´Â Áö¹Ý¹°¼ºÀÇ °ø°£Àû º¯µ¿¼ºÀ» °í·ÁÇÑ È®·ü·ÐÀû ÇØ¼®À» ¼öÇàÇÒ ¼ö ÀÖ´Â ÀýÂ÷¸¦ Á¦½ÃÇÏ¿´´Ù. Á¦½ÃµÈ ¹æ¹ýÀº À¯ÇÑÂ÷ºÐ ÇØ¼®±â¹ý°ú ·£´ýÇʵå ÀÌ·ÐÀ» È®·ü·ÐÀû ÇØ¼®±â¹ý¿¡ ÅëÇÕÇÏ°Ô µÈ´Ù. ÁöÁ¤µÈ ÀÔ·Â È®·üºÐÆ÷ÇÔ¼ö¿Í ÀÚ±â»ó°üÇÔ¼ö¸¦ µû¸£´Â non-Gaussian ·£´ýÇʵ带 »ý¼ºÇϱâ À§ÇÏ¿© Karhunen-$Lo{grave{e}}ve$ Àü°³¹ýÀ» »ç¿ëÇÏ¿´´Ù. »ý¼ºµÈ ·£´ýÇʵ带 ÀÌ¿ëÇÏ¿© È®·ü·ÐÀû ÀÀ´äÀ» ¾ò±â À§ÇØ Monte Carlo ½Ã¹Ä·¹À̼ÇÀ» ¼öÇàÇÏ¿´´Ù. Áö¹ÝÀÇ °ø°£ÀûÀÎ º¯µ¿¼º¿¡ ±âÀÎÇÏ´Â ºÒÈ®½Ç¼ºÀÇ È¿°ú¸¦ ¿¬±¸Çϱâ À§ÇÏ¿© ´ë»ó ±âÃÊÀÇ Ä§ÇÏ·®°ú ÁöÁö·Â¿¡ ´ëÇÑ ÀÏ·ÃÀÇ ÇØ¼®À» ¼öÇàÇÏ¿´´Ù. ÇØ¼®°á°ú´Â Áö¹Ý°øÇÐ ¹®Á¦¿¡¼­ ºÒÈ®½Ç¼ºÀ» °í·ÁÇÒ ¼ö ÀÖ´Â °üÁ¡À» Á¦½ÃÇϸç È®·ü·ÐÀû Æò°¡ÀÇ °á°ú¿¡ ¹ÌÄ¡´Â Áö¹Ý¹°¼ºÀÇ °ø°£Àû º¯µ¿¼ºÀÇ Á߿伺À» º¸¿©ÁØ´Ù.
Geotechnical engineering problems are characterized by many sources of uncertainty. Some of these sources are connected to the uncertainties of soil properties involved in the analysis. In this paper, a numerical procedure for a probabilistic analysis that considers the spatial variability of soil properties is presented to study the response of spatially random soil. The approach integrates a commercial finite difference method and random field theory into the framework of a probabilistic analysis. Two-dimensional non-Gaussian 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 study the effects of uncertainty due to the spatial heterogeneity on the settlement and bearing capacity of a rough strip footing. The simulations provide insight into the application of uncertainty treatment to the geotechnical problem and show the importance of the spatial variability of soil properties with regard to the outcome of a probabilistic assessment.
 
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Autocorrelation function;Monte Carlo simulation;Probabilistic analysis;Random field;Spatial variability;
 
Çѱ¹Áö¹Ý°øÇÐȸ³í¹®Áý / v.24, no.8, 2008³â, pp.111-123
Çѱ¹Áö¹Ý°øÇÐȸ
ISSN : 1229-2427
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200800557078759)
¾ð¾î : Çѱ¹¾î
³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø
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