ABSTRACT
This paper aims to propose a process to efficiently integrate and manage architectural and civil data in the design and construction stages of architecture, engineering, and construction (AEC) projects using building information modeling (BIM) and civil information modeling (CIM) technologies. The proposed method helps practitioners to understand complex geometries and unknown spaces of AEC projects by producing accurate integrated models, thereby reducing the number of design and construction errors detected on site and improving the process of decision making. It can integrate drawings of architectural and civil elements, drawings and maps of geology and topography of earth, 3D survey results, and other measured data. In order to validate the applicability of the proposed process, it was applied to the Gwangmyeong Cave project in South Korea. In the case, dozens of GB of 3D survey data were successfully converted to a less than 100 MB BIM model.
Keywords: Data Integration; Architectural Data; Civil Data, Building Information Modeling(BIM); Civil Information Modeling(CIM);Process
Authors Jong sung Won, Seonwoo Kim, Honghyun Kim, Jaeyub Kim School of Architecture, Korea National University of Transportation, South Korea Syntegrate Limited, Hong Kong, China, Syntegrate LLC., South Korea
https://www.sciencepubco.com/index.php/ijet/article/view/18900/8666
This paper proposed a process for integrating architectural data, including BIM models and architectural drawings, and civil data, including CIM models, 3D survey data, and maps of the geology and topography of the earth. The proposed process helps to ex-plain complex geometries, to reduce the number of design and construction errors detected on site, and to improve decision making processes by providing accurate geometry information of AEC projects. The proposed method was applied to an actual project to check its applicability and was validated. However, its quantitative effects on the project were not analyzed in this paper. Therefore, it will be implemented to various projects to quantitatively analyze its impacts on cost and schedule of the projects.
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