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Çѱ¹Áö¹Ý°øÇÐȸ / v.26, no.7, 2010³â, pp.161-170
º£ÀÌÁö¾È ÀÌ·ÐÀ» ÀÌ¿ëÇÑ Å¸ÀÔ°­°ü¸»¶ÒÀÇ ½Å·Ú¼º Æò°¡
( Reliability Updates of Driven Piles Based on Bayesian Theory Using Proof Pile Load Test Results )
¹ÚÀçÇö;±èµ¿¿í;°û±â¼®;Á¤¹®°æ;±èÁØ¿µ;Á¤Ãæ±â; Çѱ¹°Ç¼³±â¼ú¿¬±¸¿ø Áö¹Ý¿¬±¸½Ç;Çѱ¹°Ç¼³±â¼ú¿¬±¸¿ø Áö¹Ý¿¬±¸½Ç;Çѱ¹°Ç¼³±â¼ú¿¬±¸¿ø Áö¹Ý¿¬±¸½Ç;Çѱ¹°Ç¼³±â¼ú¿¬±¸¿ø Áö¹Ý¿¬±¸½Ç;¼­¿ï´ëÇб³ °Ç¼³È¯°æ°øÇкÎ;¼­¿ï´ëÇб³ °Ç¼³È¯°æ°øÇкÎ;
 
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±âÃʱ¸Á¶¹°ÀÇ ÀúÇ×°è¼ö »êÁ¤ ¹× ÇÏÁßÀúÇ×°è¼ö¼³°è¹ýÀÇ °³¹ßÀ» À§Çؼ­´Â ÃæºÐÇÑ ¾çÀÇ µ¥ÀÌÅͺ£À̽º ±¸ÃàÀ» ¹ÙÅÁÀ¸·Î Á¤È®ÇÑ ½Å·Ú¼º ºÐ¼®ÀÌ ¼öÇàµÇ¾î¾ß ÇÑ´Ù. ±âÁ¸ ±¹³»¿Ü ¸»¶Ò±âÃÊÀÇ ½Å·Ú¼º ºÐ¼® ¿¬±¸¿¡¼­´Â ¸»¶ÒÀÇ ÃøÁ¤ÁöÁö·Â È®ÀÎÀÌ °¡´ÉÇÑ ÀçÇϽÃÇè ÀڷḸÀ» ÀÌ¿ëÇÏ¿© ÀúÇׯíÇâ°è¼öÀÇ ºÐÆ÷Ư¼ºÀ» »êÁ¤ÇÏ¿´´Ù. µû¶ó¼­, ÆÄ±«¿¡ À̸£Áö ¾ÊÀº ¸»¶ÒÀçÇϽÃÇè ÀÚ·á´Â ½Å·Ú¼º ºÐ¼®¿¡¼­ Á¦¿ÜµÇ¾ú´Ù. º» ¿¬±¸¿¡¼­´Â º£ÀÌÁö¾È ÀÌ·ÐÀ» ÀÌ¿ëÇÏ¿© ŸÀÔ°­°ü¸»¶Ò ÀúÇׯíÇâ°è¼öÀÇ »çÀü ºÐÆ÷Ư¼º¿¡ ÃøÁ¤ÁöÁö·ÂÀ» È®ÀÎÇÒ ¼ö ¾ø´Â ÀçÇϽÃÇè °á°ú¸¦ Ãß°¡ÇÏ¿© ÇöÀå Æ¯¼ºÀ» ¹Ý¿µÇÑ ÀúÇׯíÇâ°è¼öÀÇ »çÈÄºÐÆ÷Ư¼ºÀ» »êÁ¤ÇÏ¿´´Ù. ±×¸®°í ÀúÇׯíÇâ°è¼öÀÇ »çÈÄºÐÆ÷Ư¼ºÀ» ÀÌ¿ëÇÏ¿© ¸»¶ÒÀÇ ½Å·Ú¼º Æò°¡¸¦ ¼öÇàÇÏ°í ½Å·Úµµ¼öÁØÀ» °»½ÅÇÏ¿´´Ù. ±¹³» Àü¿ª¿¡¼­ ¼öÇàµÈ ¾çÁúÀÇ Á¤ÀçÇϽÃÇè ÀڷḦ ¼öÁý, ºÐ¼®ÇÏ¿© 57°³ÀÇ ÀÚ·á¿¡ ´ëÇÑ ÃøÁ¤ÁöÁö·ÂÀ» È®ÀÎÇÏ¿´°í, À̵é ÀÚ·á¿¡ ´ëÇØ¼­ ±¸Á¶¹°±âÃʼ³°è±âÁØ¿¡¼­ Á¦¾ÈÇϰí ÀÖ´Â Meyerhof °ø½ÄÀ» ÀÌ¿ëÇÏ¿© ¼³°èÁöÁö·ÂÀ» »êÁ¤ÇÏ¿´´Ù. À̸¦ ÅëÇØ ÀúÇׯíÇâ°è¼öÀÇ »çÀüºÐÆ÷ Ư¼ºÀ» Á¤·®È­ ÇÏ¿´À¸¸ç, º£ÀÌÁö¾È ±â¹ýÀ» Àû¿ëÇÏ¿© ´Ù¾çÇÑ ÇöÀåÀçÇϽÃÇè °á°ú¿¡ µû¶ó ÀúÇׯíÇâ°è¼öÀÇ »çÈÄºÐÆ÷¸¦ »êÁ¤ÇÏ¿´´Ù. °»½ÅµÈ ÀúÇׯíÇâ°è¼ö Åë°èƯ¼ºÀ» Àû¿ëÇÏ¿© ÀÏÂ÷½Å·Úµµ¹ýÀ» ÀÌ¿ëÇÏ¿© °­µµ ³ôÀº ½Å·Ú¼º ÇØ¼®À» ¼öÇàÇÏ°í ½ÃÇè°á°ú¿¡ µû¸¥ ½Å·Úµµ ¼öÁØÀ» Æò°¡ÇÏ¿´´Ù. º» ¿¬±¸¿¡¼­ Á¦½ÃµÈ ¹æ¹ýÀ» ÅëÇØ ¾çÁúÀÇ ÃøÁ¤ÁöÁö·Â µ¥ÀÌÅͰ¡ ºÎÁ·ÇÑ °æ¿ì º£ÀÌÁö¾È ±â¹ýÀ» ÀÌ¿ëÇÏ¿© ½Å·Ú¼º ºÐ¼®ÀÌ °¡´ÉÇÔÀ» È®ÀÎÇÏ¿´´Ù.
For the development of load and resistance factor design, reliability analysis is required to calibrate resistance factors in the framework of reliability theory. The distribution of measured-to-predicted pile resistance ratio was obrained based on only the results of load tests conducted to failure for the assessment of uncertainty regarding pile resistance and used in the conventional reliability analysis. In other words, successful pile load test (piles resisted twice their design loads without failure) results were discarded, and therefore, were not reflected in the reliability analysis. In this paper, a new systematic method based on Bayesian theory is used to update reliability indices of driven steel pipe piles by adding more proof pile load test results, even not conducted to failure, to the prior distribution of pile resistance ratio. Fifty seven static pile load tests performed to failure in Korea were compiled for the construction of prior distribution of pile resistance ratio. The empirical method proposed by Meyerhof is used to calculate the predicted pile resistance. Reliability analyses were performed using the updated distribution of pile resistance ratio. The challenge of this study is that the distribution updates of pile resistance ratio are possible using the load test results even not conducted to failure, and that Bayesian updates are most effective when limited data are available for reliability analysis.
 
Ű¿öµå
Bayesian theory;Driven steel pipe pile;FORM;Reliability analysis;Reliability index;Static pile load test;
 
Çѱ¹Áö¹Ý°øÇÐȸ³í¹®Áý / v.26, no.7, 2010³â, pp.161-170
Çѱ¹Áö¹Ý°øÇÐȸ
ISSN : 1229-2427
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO201033062365001)
¾ð¾î : Çѱ¹¾î
³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø
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