AUTOMATIC IDENTIFICATION AND QUANTIFICATION OF SAFETY RISKS EMBEDDED IN DESIGN STAGE: A BIM-ENHANCED APPROACH

Design stage plays a decisive role in safety risk management of the whole life cycle for construction projects. However, existing research mostly pay attention to post-accident management and lack pre-management consciousness. Based on the concept of design for safety (DFS), this paper explains how...

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Bibliographic Details
Published inJournal of civil engineering and management Vol. 28; no. 4; pp. 278 - 291
Main Authors Xiahou, Xiaer, Li, Kang, Li, Funing, Zhang, Zhenqi, Li, Qiming, Gao, Yuan
Format Journal Article
LanguageEnglish
Published Vilnius Vilnius Gediminas Technical University 01.04.2022
Subjects
Accidents
BIM
Case studies
Construction
Construction accidents & safety
Construction industry
Deep foundations
Design
design for safety (DFS)
Design optimization
Drama
FEC method
Knowledge bases (artificial intelligence)
knowledge management
Life cycle
Life cycles
Occupational safety
Project engineering
Risk management
Safety
Safety engineering
Safety management
Safety regulations
safety risks quantification
Subway construction
China
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Summary:Design stage plays a decisive role in safety risk management of the whole life cycle for construction projects. However, existing research mostly pay attention to post-accident management and lack pre-management consciousness. Based on the concept of design for safety (DFS), this paper explains how design optimization can enhance the safety performance for construction projects. Firstly, use accident causality theory and trajectory crossing theory to clarify the logical relationship between safety accidents and design process. Then, identify risk sources of safety accidents in deep foundation pit of subway projects and form a safety management knowledge base. Thirdly, based on design and review rules in the knowledge base and improved FEC risk quantification method, quantify the design oriented subway construction safety risks. Finally, use BIM secondary development technology to realize automatic examination and visualization of safety risks. A case study was conducted to verify this research framework. This paper can be a supplement to the existing risk management theoretical research.
ISSN:1392-3730
1822-3605
DOI:10.3846/jcem.2022.16560