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·ÎÁö½ºÆ½ ȸ±ÍºÐ¼®À» ÀÌ¿ëÇÑ BIM ¼³°è °ËÅä¿¡ ÀÇÇÏ¿© ¹ß°ßµÈ ¼³°è ¿À·ù¿Í ±× ¿µÇâµµ°£ÀÇ °ü°è ºÐ¼® / Analysis of the Relations between Design Errors Detected during BIM-based Design Validation and their Impacts Using Logistic Regression |
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Çѱ¹°ÇÃà½Ã°øÇÐȸ ³í¹®Áý, Vol.17 No.6 (2017-12) |
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½ÃÀÛÆäÀÌÁö(535) ÃÑÆäÀÌÁö(10) |
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°Ç¼³Á¤º¸¸ðµ¨¸µ (BIM) ; ¼³°è °ËÅä ; ¼³°è ¿À·ù ; ·ÎÁö½ºÆ½ ȸ±ÍºÐ¼® ; building information modeling (BIM) ; design validation ; design error ; logistic regression |
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º» ³í¹®Àº BIM ±â¹Ý ¼³°è °ËÅ並 ÅëÇÏ¿© »çÀü¿¡ ¹æÁöµÈ¼³°è ¿À·ù¿Í ±× ¿µÇâµµ¸¦ Åë°èÀûÀ¸·Î ºÐ¼®ÇÑ´Ù. À̸¦ À§ÇÏ¿© Çѱ¹¿¡¼ ¼öÇàµÇ¾ú´ø 2°³ BIM ÇÁ·ÎÁ§Æ®¿¡¼ BIM ±â¹Ý ¼³°è°ËÅ並 µµÀÔÇÔÀ¸·Î½á ¹ß°ßµÇ¾ú´ø ¾à 800¿©°Ç ÀÌ»óÀÇ ¼³°è¿À·ù¸¦ ¼³°è ¿À·ù ¹ß»ý ¿øÀκ°(ºñ³í¸®Àû ¿À·ù, µµ¸é »óÀÌ, ´©¶ô), ¹ß»ý °øÁ¾º°(±¸Á¶, °ÇÃà, ¼³ºñ)·Î ºÐ·ùÇÑ´Ù. ½Ã°ø ÀÌÀü¿¡ ¹ß°ßµÈ ¼³°è ¿À·ù·Î ÀÎÇÏ¿© ¹ß»ýÇÒ ¼ö ÀÖ´Â ÀçÀÛ¾÷°ú °ø»çºñ, °ø»ç±â°£, ǰÁú¿¡ÀÇ ¿µÇâ ¿©ºÎ¸¦ ÇØ´ç ÇöÀåÀÇ ½Ç¹«ÀÚ¿ÍÀÇ ÀÎÅͺ並 ÅëÇØ¼ ºÐ·ùÇϰí, ¼³°è ¿À·ù¿ÍÀÇ È®·üÀû °ü°è¸¦ ·ÎÁö½ºÆ½ ȸ±ÍºÐ¼®À» ÀÌ¿ëÇÏ¿© ºÐ¼®ÇÑ´Ù. ºÐ¼®°á°ú, ¼³°è ¿À·ù ¹ß»ý¿øÀÎÀÌ °ø»çºñ Áõ°¡, °ø±â Áö¿¬, ǰÁú ÀúÇÏ, ÀçÀÛ¾÷À» À¯¹ß È®·ü ¿¹Ãø¿¡ Åë°èÀûÀ¸·Î °¡Àå À¯ÀǹÌÇÑ °ü°è°¡ ÀÖ¾ú´Ù. µÎ °³ÀÇ ÇÁ·ÎÁ§Æ®¿¡¼ ¼öÁýµÈ ÀڷḸÀ» Ȱ¿ëÇÏ¿© ¼³°è ¿À·ù °£ÀÇ °ü°è¸¦ ºÐ¼®ÇÏ¿´Áö¸¸ ¼³°è ¿À·ùÀÇ Æ¯¼ºÀÇ °ü°è°¡ À¯»çÇÏ´Ù´Â Á¡¿¡¼ Àǹ̰¡ ÀÖ´Ù°í ÇÒ ¼ö ÀÖ´Ù. ÇâÈÄ¿¡´Â ´Ù¼öÀÇ ÇÁ·ÎÁ§Æ®¿¡¼ ¼öÁýµÈ ÀڷḦ ºÐ¼®ÇÏ¿© À̸¦ °ËÁõÇϰíÀÚ ÇÑ´Ù. |
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This paper analyzes the relations between design errors, prevented by building information modeling (BIM)-based design validation, and their impacts in order to identify critical consideration factors for implementing BIM-based design validation in architecture, engineering, and construction (AEC) projects. More than 800 design errors detected by BIM-based design validation in two BIM-based projects in South Korea are categorized according to their causes (illogical error, discrepancy, and missing item) and work types (structure, architecture, and mechanical, electrical, and plumbing (MEP)). The probabilistic relations among the independent variables, including the causes and work types of design errors, and the dependent variables, including the project delays, cost overruns, low quality, and rework generation that can be caused by these errors, are analyzed using logistic regression. The characteristics of each design error are analyzed by means of face-to-face interviews with practitioners. According to the results, the impacts of design error causes in predicting the probability values of project delays, cost overruns, low quality, and rework generation were statistically meaningful. |