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http://dx.doi.org/10.5762/KAIS.2016.17.4.129

An Object Quality Verification Method for BIM Libraries based on Standardized Drawings in Civil Projects -Focusing on Retaining Wall Case  

Moon, Hyoun-Seok (ICT Convergence and Integration Research Institute, Korea Institute of Civil Engineering and Building Technology)
Kim, Chang-Yoon (ICT Convergence and Integration Research Institute, Korea Institute of Civil Engineering and Building Technology)
Cho, Geun-Ha (ICT Convergence and Integration Research Institute, Korea Institute of Civil Engineering and Building Technology)
Ju, Ki-Beom (ICT Convergence and Integration Research Institute, Korea Institute of Civil Engineering and Building Technology)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.17, no.4, 2016 , pp. 129-137 More about this Journal
Abstract
BIM libraries for architectural projects have been developed and distributed. However, they do not define physical and logical quality control methods for individual library objects, so there are some difficulties in securing reliability of 3D library models converted from 2D drawings. Because the BIM library contents can be built by participating material and member-fabrication companies, after making individual BIM library objects, a certification process through separate quality verification is very important when delivering as-built BIM libraries. Since the BIM library should have generality for usage, it is necessary to secure the quality of BIM library objects according to consistent verification standards. Therefore, this study suggests a quality verification method for certifying a BIM library object from physical and data perspectives by comparing existing 2D drawings in the BIM libraries built based on standardized 2D drawings from MOLIT. This method could be widely used for quality verification in delivering BIM libraries by companies in the construction sector and operated with rule set data for quality verification of as-built BIM models.
Keywords
Building Information Modeling; Library; Physical Quality; Data Quality; Quality Assuarance;
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Times Cited By KSCI : 3  (Citation Analysis)
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