Semi-Automated Lifecycle Safety Risk Assessment of Construction Projects: A Preventive Approach Based on Building Information Modeling

Articles in Press

Document Type : Research Note

Authors

1 School of Architecture, Department of Construction and Project Management, University of Tehran, Tehran, Iran

2 School of Civil Engineering, College of Engineering, University of Tehran, Tehran,Iran

Abstract

In the lifecycle of construction projects, attention to safety is of critical importance. Safety not only affects the health and well-being of workers but also plays a significant role in productivity, costs, and the final quality of the project. Safety management is critical in countries like Iran that face limitations regarding training, equipment and regulations. This article aims to provide a comprehensive review of safety management in the construction industry and provide new approaches to improve them. For this purpose, first, the existing literature in the field of safety management in construction projects is reviewed, and then the challenges in this field are identified and analyzed. In this research, using historical accident database data and in the framework of building information modelling, an semi-automatic approach to identify and evaluate safety risks in the design phase has been developed. To achieve this goal, an plugin was developed for Autodesk Revit, which by analyzing building components in 3D models, identifies different risks and classifies them based on the severity of the results they create in varying levels of risk (high, medium, low). does Also, the plugin automatically suggests appropriate preventive measures by leveraging OSHA standards and helps users manage risks and prevent them from occurring. In this way, a comprehensive risk assessment process is implemented from the stage of identification and evaluation to the provision of control measures and documentation on these incidents. This research is potentially highly effective due to its innovative approach to identifying and managing safety hazards during the design phase. By integrating historical accident data and using 3D modeling for hazard analysis, this method enables early and accurate hazard identification. The developed plugin's capability to identify more detailed aspects and provide automated preventive measures can significantly improve safety decision-making during the early design stages and prevent incidents arising from design flaws.

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Sharif Journal of Civil Engineering

Articles in Press, Accepted Manuscript
Available Online from 08 March 2025

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