Developing an IFC-based database for construction quality evaluation

  • Xu, Zhao (Department of Civil Engineering, Southeast University) ;
  • Li, Bingjing (Department of Civil Engineering, Southeast University) ;
  • Li, Qiming (Department of Civil Engineering, Southeast University)
  • Published : 2017.10.27

Abstract

Quality evaluation and control represent increasingly important concerns for construction quality management. There is an evident need for a standard data model to be used as the basis for computer-aided quality management. This study focuses on how to realize evaluation of construction quality based on BIM and database technology. In this paper, the reinforced concrete main structure is taken as an example, and the BP neural network evaluation model is established by inquiring current construction quality acceptance specification and evaluation standard. Furthermore, IFC standard is extended to integrate quality evaluation information and realize the mapping of evaluation information in BIM model, contributing to the visualization and transfer sharing of evaluation information. Furthermore, the conceptual entity model is designed to build quality evaluation database, and this paper select MySQL workbench system to achieve the establishment of the database. This study is organized to realize the requirement of visualization and data integration on construction quality evaluation which makes it more effective, convenient, intuitive, easy to find quality problems and provide more comprehensive and reliable data for the quality management of construction enterprises and official construction administratiors.

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Acknowledgement

The authors' special thanks go to all survey participants and reviewers of the paper, and appreciation to the National Science Council of P. R. C. for financially supporting this research (NSFC-71302138), and fund by the Priority Academic Program Development of JiangSu Higher Education Institutions (CE01-2-2).