Developing an IFC-Based Database for Construction Quality Evaluation
Joint Authors
Li, Heng
Xu, Zhao
Huang, Ting
Li, Bingjing
Li, Qiming
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-28
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Abstract EN
Quality evaluation and control are increasingly important concerns in construction projects.
Construction quality evaluation, as a systematic method, must be discussed in light of quality information extraction and storage, while a traditional construction quality control program cannot meet these requirements.
In moving beyond quality indicators to evaluate quality performance that is comparable across construction entities, two fundamental factors must be considered: quality information standardization and multiquality data integration.
The purpose of this study is to extend the interoperability of a construction quality database in the evaluation process by employing the industry foundation classes (IFC) data model.
Taking a cast-in-place steel-concrete structure as an example, this study explores the implementation of building information modeling (BIM) in quality management and proposes integrated solutions to improve current quality management processes with the assistance of an IFC-based working environment.
To better utilize the performance of the BIM model and database on construction quality control, various BIM-based evaluation frameworks are proposed.
Also, this paper discusses how these IFC and neutral network models operate together to facilitate construction quality management.
Project participants can better understand quality progress and collaborate more effectively, thanks to a visualized data format.
The objective of evaluating the proposed model is to understand the effectiveness of an IFC-based database when implemented in practice.
A questionnaire was developed considering the opinions of construction firms and design institutes regarding identified factors.
In designing an IFC-based quality database, the method proposed in this study reduces the complexity of the database substantially and improves quality evaluation efficiency.
American Psychological Association (APA)
Xu, Zhao& Huang, Ting& Li, Bingjing& Li, Heng& Li, Qiming. 2018. Developing an IFC-Based Database for Construction Quality Evaluation. Advances in Civil Engineering،Vol. 2018, no. 2018, pp.1-22.
https://search.emarefa.net/detail/BIM-1115906
Modern Language Association (MLA)
Xu, Zhao…[et al.]. Developing an IFC-Based Database for Construction Quality Evaluation. Advances in Civil Engineering No. 2018 (2018), pp.1-22.
https://search.emarefa.net/detail/BIM-1115906
American Medical Association (AMA)
Xu, Zhao& Huang, Ting& Li, Bingjing& Li, Heng& Li, Qiming. Developing an IFC-Based Database for Construction Quality Evaluation. Advances in Civil Engineering. 2018. Vol. 2018, no. 2018, pp.1-22.
https://search.emarefa.net/detail/BIM-1115906
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1115906