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³í¹®¸í ½ÇÃø°ú ÃÖÀûÈ­ ¾Ë°í¸®Áò(GA)À» ÀÌ¿ëÇÑ ¿¬µ¹È¿°ú ½Ã¹Ä·¹ÀÌ¼Ç ¹æ¹ýÀÇ ½Å·Ú¼º °ËÁõ / Reliability verification of stack effect simulation method using the field test and the optimization algorithm(GA) / [ÀϹݼ¼¼Ç] 99.±âŸ - ¿¬µ¹È¿°ú
ÀúÀÚ¸í ¹Ú½Âȯ(Seung Hwan Park) ; ¹Ú¼Ò¿ì(So Woo Park) ; ¿Ëµå¶÷(Munkhbat Undram)½Äº°ÀúÀÚ ; Á¶Á¤ÈÆ(Jeong Hoon Cho)½Äº°ÀúÀÚ ; °­±â³²(Ki Nam Kang)½Äº°ÀúÀÚ ; ¼ÛµÎ»ï(Doo Sam Song)
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¼ö·Ï»çÇ× ´ëÇѼ³ºñ°øÇÐȸ 2018³âµµ ÇϰèÇмú¹ßÇ¥´ëȸ (2018-06)
ÆäÀÌÁö ½ÃÀÛÆäÀÌÁö(667) ÃÑÆäÀÌÁö(4)
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ÁÖÁ¦¾î ¾Ð·ÂºÐÆ÷ ; ½ÇÃø ; ÃÖÀûÈ­ ; À¯ÀüÀÚ ¾Ë°í¸®Áò ; ¿¬µ¹È¿°ú ; Pressure distribution ; Field measurement ; Optimization ; Genetic algorithm ; Stack effect
¿ä¾à2 This study aims to verify the feasibility and reliability of the stack effect simulation methodology that optimizes airtightness performance data using GA(Genetic Algorithm). This study was measured throughout the temperature, humidity, weather conditions, and the pressure difference twice(First: October 30 to November 1, Second: January 26 to 27). The field measurement was conducted for a high-rise residential buildings in Hyozja-dong, Jeonju. The results are as follows; - It is judged that it is difficult to express the actual situation because there are many differences when simulating using airtightness performance data of existing reference. In addition, there was almost no difference in the simulation using the optimization algorithm. - The results of the optimization simulation and the second experiment were almost the same. As a result, more accurate analysis of stack effect will be possible.
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Á¤¿ë¿î(Jung, YoungWoon) ; À±Àç¿Á(Yoon, JaeOck) - ´ëÇѰÇÃàÇÐȸ Çмú¹ßÇ¥´ëȸ ³í¹®Áý : Vol.37 No.2 (201710)
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ž»óÇü °íÃþ ÁְŰǹ°ÀÇ ¿¬µ¹È¿°ú ºÐ¼® ¹× Àú°¨´ëÃ¥ Àû¿ë¿¡ °üÇÑ Case study
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