¶óÆæÆ®¦¢Ä«Æä¦¢ºí·Î±×¦¢´õº¸±â
¾ÆÄ«µ¥¹Ì Ȩ ¸í»çƯ°­ ´ëÇבּ¸½Ç޹æ Á¶°æ½Ç¹« µ¿¿µ»ó°­ÀÇ Çѱ¹ÀÇ ÀüÅëÁ¤¿ø ÇÐȸº° ³í¹®
ÇÐȸº° ³í¹®

Çѱ¹°Ç¼³°ü¸®ÇÐȸ
Çѱ¹°ÇÃà½Ã°øÇÐȸ
Çѱ¹µµ·ÎÇÐȸ
Çѱ¹»ý¹°È¯°æÁ¶ÀýÇÐȸ
Çѱ¹»ýÅÂÇÐȸ
Çѱ¹¼öÀÚ¿øÇÐȸ
Çѱ¹½Ä¹°ÇÐȸ
Çѱ¹½Ç³»µðÀÚÀÎÇÐȸ
Çѱ¹ÀÚ¿ø½Ä¹°ÇÐȸ
Çѱ¹ÀܵðÇÐȸ
Çѱ¹Á¶°æÇÐȸ
Çѱ¹Áö¹Ý°øÇÐȸ
Çѱ¹ÇÏõȣ¼öÇÐȸ
Çѱ¹È¯°æ»ý¹°ÇÐȸ
Çѱ¹È¯°æ»ýÅÂÇÐȸ

Çѱ¹µµ·ÎÇÐȸ / v.10, no.3, 2008³â, pp.199-208
Æ÷Àå»óÅ ¿¹Ãø¹æ¹ý °³¼±¿¡ °üÇÑ ¿¬±¸
( Development of Prediction Method for Highway Pavement Condition )
¹Ú»ó¿í;¼­¿µÂù;Á¤Ã¶±â; Çѱ¹µµ·Î°ø»ç µµ·Î»ç¾÷ó;ÇѾç´ëÇб³ ±³Åë°øÇаú;(ÁÖ)·ÎµåÄÚ¸®¾Æ;
 
ÃÊ ·Ï
Æ÷Àå»óÅ ¿¹ÃøÀº ÀÇ»ç°áÁ¤°úÁ¤¿¡¼­ Æ÷ÀåÀÇ °ø¿ë¼º´ÉÀ» Æò°¡ÇÏ°í »ç¾÷´ë»ó±¸°£ÀÇ ¿ì¼±¼øÀ§¸¦ ¼±Á¤Çϱâ À§ÇÑ ÀûÁ¤ÇÑ Á¤º¸¸¦ Á¦°øÇØÁØ´Ù. ±Ù·¡µé¾î ÇöÀçÀÇ Æ÷Àå»óŰ¡ Àå·¡¿¡ ¾î´À Á¤µµ ÀúÇϵǴÂÁö¸¦ ¿¹ÃøÇÏ·Á´Â ¸¹Àº Á¢±ÙÀÌ ÀÖ¾úÀ¸³ª Æ÷ÀåÀÇ ¼­ºñ½º¼ö¸íÀ» ÀûÁ¤È÷ ¿¹ÃøÇÏ´Â µ¥¿¡´Â ÇѰ踦 º¸¿©¿Ô´Ù. º» ³í¹®¿¡¼­´Â Æ÷Àå»óÅ ¿¹Ãø¹æ¹ýÀ» °³¼±Çϱâ À§ÇÏ¿© Æ÷Àå»óÅ °ø¿ë¼º¸ðÇü°ú Æ÷Àå»óÅ ¿¹Ãø¸ðÇüÀ» °³¹ßÇÏ¿´´Ù. °ø¿ë¼º ¸ðÇüÀº ½ÇÁ¦ Æ÷Àå»óÅ ºÐ¼®°á°ú¸¦ ȸ±ÍºÐ¼®ÇÏ¿© Æ÷ÀåÀÇ Á¾·ùº°, ±³Åë·®º°·Î ¹éºÐÀ§ 50%, 25%, 15%, 5%ÀÇ È®·üºÐÆ÷ ¸ðÇüÀ» µµÃâÇÑ °ÍÀÌ´Ù. ¿¹Ãø¸ðÇüÀº ¾Õ¼­ µµÃâµÈ °ø¿ë¼º¸ðÇü ¸ðÇü½ÄÀ» ±âÁØÀ¸·Î ÇÏ¿© ´ë»ó±¸°£ °¢°¢ÀÇ Æ÷Àå»óÅÂ ÃøÁ¤°ª¿¡ ÀÇÇØ Æ÷Àå»óÅ Ȯ·üÀ» °áÁ¤ÇÑ´Ù. °³¹ßµÈ ¿¹Ãø¸ðÇüÀÇ °ËÁõÀ» À§ÇÏ¿© ºñ±³´ë»ó±¸°£À» ¼±Á¤ÇÏ¿´°í, HPCIÀÇ Æò±Õ°ª Ç¥ÁØÆíÂ÷, 3.0ÀÌÇÏ ºñÀ²À» ºñ±³ºÐ¼®ÇÏ¿´´Ù. À̸¦ ÅëÇÏ¿© ±âÁ¸¿¹Ãø¸ðÇüÀÌ ¾È°í ÀÖ´Â ±³Åë·®, Àç·É, ÇöÀç Æ÷Àå »óŸ¦ °í·ÁÇÏ¿© º¸´Ù Çö½Ç¿¡ ºÎÇյǴ Æ÷Àå»óŸ¦ ¿¹ÃøÇÏ´Â ¹æ¹ýÀ» Á¦°øÇϰíÀÚ ÇÑ´Ù.
Prediction the performance of pavement provides proper information to an agency on decision-making process; especially evaluating the pavement performance and prioritizing the work plan. To date, there are a number of approaches to predict the future deterioration of pavements. However, there are some limitation to proper prediction of the pavement service life. In this paper, pavement performance model and pavement condition prediction model are developed in order to improve pavement condition prediction method. The prediction model of pavement condition through the regression analysis of real pavement condition is based on the probability distribution of pavement condition, which set to 5%, 15%, 25% and 50%, by condition of the pavement and traffic volume. The pavement prediction model presented from the behavior of individual pavement condition which are set to 5%, 15%, 25% and 50% of probability distribution. The performance of the prediction model is evaluated from analyzing the average, standard deviation of HPCI, and the percentage of HPCI which is lower than 3.0 of comparable section. In this paper, we will suggest the more rational method to determine the future pavement conditions, including the probabilistic duration and deterministic modeling methods regarding the impact of traffic volume, age, and the type of the pavement.
 
Ű¿öµå
Æ÷Àå»óÅ ¿¹Ãø¸ðµ¨;È®·ü·ÐÀû ¸ðÇü;°áÁ¤·ÐÀû ¸ðÇü;pavement performance prediction model;probabilistic and deterministic modeling;
 
Çѱ¹µµ·ÎÇÐȸ³í¹®Áý / v.10, no.3, 2008³â, pp.199-208
Çѱ¹µµ·ÎÇÐȸ
ISSN : 1738-7159
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200807653005995)
¾ð¾î : Çѱ¹¾î
³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø
¸ñ·Ïº¸±â
ȸ»ç¼Ò°³ ±¤°í¾È³» ÀÌ¿ë¾à°ü °³ÀÎÁ¤º¸Ãë±Þ¹æÄ§ Ã¥ÀÓÀÇ ÇѰè¿Í ¹ýÀû°íÁö À̸ÞÀÏÁÖ¼Ò ¹«´Ü¼öÁý °ÅºÎ °í°´¼¾ÅÍ
   

ÇÏÀ§¹è³ÊÀ̵¿