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Çѱ¹µµ·ÎÇÐȸ / v.10, no.3, 2008³â, pp.199-208
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Æ÷Àå»óÅ ¿¹Ãø¹æ¹ý °³¼±¿¡ °üÇÑ ¿¬±¸
( Development of Prediction Method for Highway Pavement Condition ) |
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| 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. |
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| 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. |
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| Ű¿öµå |
| Æ÷Àå»óÅ ¿¹Ãø¸ðµ¨;È®·ü·ÐÀû ¸ðÇü;°áÁ¤·ÐÀû ¸ðÇü;pavement performance prediction model;probabilistic and deterministic modeling; |
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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 |
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| ³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø |
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