인간 객체 및 건축물 정보 기반의 설계분석시스템 개발 프로세스

초록

While previous studies hypothesize several models of data structure for autonomous, intelligent human objects, their empirical implementation procedure and applicability are not investigated yet. Therefore, as an initial step of the implementation, this present study examines 1) validity of the three-components of database which include human objects, activity, and behavioral rules, 2) applicability of the database for performance analysis of single houses. As a method, multiple compositions of living room, kitchen, and home workplace are generated by a BIM tool, and two types of human objects, adults and children, respond to the variations between the spatial elements. In result, this present study reveals that 1) data classifications of building and room stems are valid to be involved in the data structure of behavioral rules, 2) the data classification enable to reflect semantic properties of BIM and initiate automatic iterations between human objects and built environments, and 3) the data structure is effective to detect performances and conflicts in use of computer-generated house layouts. Deduced from the findings, this study discusses a future framework for automatic design analysis system using human objects and BIM.