Automated Safety Risk Assessment Framework by Integrating Safety Regulation and 4D BIM-Based Rule Modeling

Author:

Kim Dohyeong1,Yoo Taehan1ORCID,Tran Si Van-Tien2ORCID,Lee Doyeop1,Park Chansik1ORCID,Lee Dongmin1

Affiliation:

1. School of Architecture & Building Sciences, Chung-Ang University, Seoul 06974, Republic of Korea

2. Department of Architectural Engineering, Catholic Kwandong University, Gangneung-si 25601, Republic of Korea

Abstract

Performing risk assessments in construction requires collecting and analyzing project data and historical safety accident data, which is challenging due to the inherent complexities and dynamic nature of construction projects. To address these challenges, building information modeling (BIM) has been leveraged as a centralized digital repository that integrates data and provides a holistic 3D view of a project. Previous studies have highlighted BIM’s significant functions for risk assessment, such as visualization, simulation, and clash detection. However, these studies often overlook the incorporation of temporal information, which is crucial for assessing risks accounting for the dynamic conditions of construction sites. This study develops a 4D BIM-based risk-assessment framework by integrating spatial and temporal data to respond to dynamic site changes. The framework leverages 4D BIM to combine 3D model data with time-, resource-, and logistics-related information, enhancing the tracking and evaluation of construction progress. The study involves investigating major construction accidents, classifying their risk factors, establishing risk-factor identification algorithms, and implementing the framework on a web-based platform for validation. This approach offers a comprehensive risk-identification strategy, applicable to multiple accident types, with intuitive visualization using BIM models, benefiting from managers’ experiential knowledge and enabling effective risk assessments and mitigation strategies. Consequently, potential safety risks at construction sites can be efficiently identified using interconnected spatial and temporal data while tracking changes in risk levels in real time and visualizing them on a web-based platform.

Funder

Korea Agency for Infrastructure Technology Advancement

Chung-Ang University

Publisher

MDPI AG

Reference76 articles.

1. Safety Risk Quantification for High Performance Sustainable Building Construction;Dewlaney;J. Constr. Eng. Manag.,2012

2. Development of A Quantitative Risk Assessment Model by BIM-based Risk Factor Extraction—Focusing on Falling Accidents;Go;Korean J. Constr. Eng. Manag.,2022

3. Assessment of safety management information systems for general contractors;Jung;Saf. Sci.,2008

4. A review of risk management through BIM and BIM-related technologies;Zou;Saf. Sci.,2017

5. A Method on Developing 3D/BIM-Based Real Time Fire Disaster Information Management;Bae;Korean J. Constr. Eng. Manag.,2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3