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Çѱ¹Áö¹Ý°øÇÐȸ / v.25, no.12, 2009³â, pp.27-35
ÀýÅä»ç¸é ÇöȲÁ¶»ç ÀÚ·á¿Í À§Çèµµ°£ÀÇ »ó°üºÐ¼®¿¡ °üÇÑ ¿¬±¸: °­¿øµµ, ÃæÃ»µµ ÀÏ´ë ÀýÅä»ç¸é
( A Study on Correlation Analysis between Inventory Data and Danger Grade of Cut Slopes: Cut Slopes in Kangwondo and Chungcheongdo. )
±èÁøÈ¯;ÀÌÁ¤¿±;±è½ÂÇö;±¸È£º»; Çѱ¹°Ç¼³±â¼ú¿¬±¸¿ø Áö¹Ý¿¬±¸½Ç;Çѱ¹°Ç¼³±â¼ú¿¬±¸¿ø Áö¹Ý¿¬±¸½Ç;Çѱ¹°Ç¼³±â¼ú¿¬±¸¿ø Áö¹Ý¿¬±¸½Ç;Çѱ¹°Ç¼³±â¼ú¿¬±¸¿ø Áö¹Ý¿¬±¸½Ç;
 
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Çѱ¹°Ç¼³±â¼ú¿¬±¸¿ø(KICT)°ú Çѱ¹½Ã¼³¾ÈÀü°ø´Ü(KISTEC)¿¡¼­´Â Àü±¹ ±¹µµº¯¿¡ ºÐÆ÷Çϰí ÀÖ´Â ÀýÅä»ç¸é¿¡ ´ëÇÑ ÇöȲÁ¶»ç¸¦ 2006³âºÎÅÍ ¼öÇàÇϰí ÀÖ´Ù. ÀýÅä»ç¸é ÇöȲÁ¶»ç´Â ÀýÅä»ç¸é Á¤¹Ð¾ÈÀüÁø´Ü°ú´Â ´Þ¸®, ÇöÀå¿¡¼­ ±âº»ÀûÀÎ À°¾ÈÁ¶»ç¸¦ ÅëÇØ ¾òÀ» ¼ö ÀÖ´Â ¿©·¯°¡Áö ÀýÅä»ç¸é Ư¼º¿¡ ´ëÇÑ °£´ÜÇÑ Á¶»ç·Î ÀýÅä»ç¸é À¯Áö°ü¸®ÀÇ ±âº»ÀÌ µÇ´Â ÀڷḦ ¼öÁýÇÏ´Â °ÍÀÌ´Ù. ÇöȲÁ¶»ç´Â Á¶»ç ´ë»ó ÀýÅä»ç¸éÀÇ ÀϹÝÇöȲ, ÀýÅä»ç¸é Ư¼º, Á¶»çÀÚ ¼Ò°ßÀ¸·Î ±¸¼ºµÈ´Ù. Á¶»çµÈ ÀÚ·á´Â Àü±¹¿¡ ºÐÆ÷Çϰí ÀÖ´Â À§ÇèÀýÅä»ç¸éÀ» ÆÄ¾ÇÇϰí Á¤¹Ð ¾ÈÀüÁø´ÜÀÇ Á¶»ç¼øÀ§¸¦ °áÁ¤Çϴµ¥ Ȱ¿ëµÈ´Ù. º» ³í¹®¿¡¼­´Â SPSS (Statistical Package for the Social Sciences) Åë°èó¸® ÇÁ·Î±×·¥À» ÀÌ¿ëÇÏ¿© 2006³âºÎÅÍ 2008³â±îÁö °­¿øµµ¿Í ÃæÃ»µµ Áö¿ª¿¡¼­ ¼öÁýµÈ 10,461°³ÀÇ ±¹µµº¯ ÀýÅä»ç¸é ÇöȲÁ¶»ç ÀÚ·á¿¡ ´ëÇÏ¿© »ó°üºÐ¼®À» ÇÏ¿´´Ù. ÇöȲÁ¶»ç Ç׸ñÀ¸·Î ºÎÅÍ »êÃâÇÑ ÀýÅä»ç¸éÀÇ À§Çèµµ Á¡¼ö¿Í ÇöȲÁ¶»ç Ç׸ñ°£ÀÇ »ó°ü¼ºÀ» ºÐ¼®ÇÏ¿© »ó°ü°è¼ö¸¦ »êÃâÇÏ¿´°í À̸¦ ÅëÇØ ÀýÅä»ç¸é À§Çèµµ Á¡¼ö¿¡ º¸´Ù ¸¹Àº ¿µÇâÀ» ¹ÌÄ¡´Â ÇöȲÁ¶»ç Ç׸ñÀ» Æò°¡Çغ¸¾Ò´Ù. »ó°üºÐ¼®°á°ú, ¶áµ¹ ¹× ³«¼® ºÐÆ÷, ºÒ¿¬¼Ó¸éÀÇ ¹æÇ⼺ ¹× »óºÎÀÚ¿¬»ç¸éÀÇ °æ»ç°¡ ÀýÅä»ç¸é À§Çèµµ Á¡¼ö¿¡ ¿µÇâÀ» Å©°Ô ¹ÌÄ¡´Â Ç׸ñÀÓÀ» ¾Ë ¼ö ÀÖ¾ú´Ù. ¶ÇÇÑ, À§Çèµµ Á¡¼ö¿¡ ¿µÇâÀ» ¹ÌÄ¡´Â Ç׸ñÀº Áö¿ªº°·Î ¾à°£ÀÇ Â÷À̰¡ ³ªÅ¸³²À» ¾Ë ¼ö ÀÖ¾ú´Ù. ÃßÈÄ, ÀýÅä»ç¸é ÇöȲÁ¶»ç°¡ ¿Ï·áµÇ¸é ¿ì¸®³ª¶ó¿¡ ºÐÆ÷Çϰí ÀÖ´Â ÀýÅä»ç¸éÀÇ Áö¿ªº° Ư¼ºÀ» ÆÄ¾ÇÇÒ ¼ö ÀÖÀ» °ÍÀ¸·Î »ý°¢µÈ´Ù.
KICT (Korea Institute of Construction and Technology) and KISTEC (Korea Infrastructure Safety and Technology Corporation) have been carrying out inventory survey on cut slopes along national roads since 2006. Unlike precision safety check, cut slope inventory survey is a simple check about cut slope's characteristics with the naked eye to collect the data base of slope maintenance. Inventory survey is classified into general status, cut slope characteristics and inspector opinions. The inventory data are analyzed to identify dangerous slopes and decide a safety ranking. In this paper, we performed a correlation analysis using SPSS (ver.15) about the 10,461 cut slope inventory data which are collected in Kangwondo and Chungcheongdo from 2006 to 2008. We calculated the correlation coefficient between cut slope inventory data and the danger score derived from the data. And we evaluated cut slope inventory data which have the more influence on the danger degree of cut slope. According to results of correlation analysis, we found that inventory data influencing cut slope danger degree are stuck and fallen rock, orientation of discontinuity and angle of upper slope. And these data are slightly different by regionally. Later on, if inventory research is finished, we will understand regional characteristics of cut slopes.
 
Ű¿öµå
Correlation analysis;Cut slope;Cut slope management system;Inventory data;
 
Çѱ¹Áö¹Ý°øÇÐȸ³í¹®Áý / v.25, no.12, 2009³â, pp.27-35
Çѱ¹Áö¹Ý°øÇÐȸ
ISSN : 1229-2427
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200919061726794)
¾ð¾î : Çѱ¹¾î
³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø
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