Development of BIM-Based Risk Rating Estimation Automation and a Design-for-Safety Review System

被引:18
|
作者
Lee, Yongha [1 ]
Kim, Inhan [1 ]
Choi, Jungsik [2 ]
机构
[1] Kyung Hee Univ, Dept Architecture, Yongin 17104, South Korea
[2] Hanyang Univ, Div Smart Convergence Engn, Major Architecture IT Convergence Engn, Ansan 15588, South Korea
来源
APPLIED SCIENCES-BASEL | 2020年 / 10卷 / 11期
基金
新加坡国家研究基金会;
关键词
building information modeling (BIM); design for safety (DfS) review; hazard prevention; risk rating estimation; safety management; HAZARD IDENTIFICATION; PREVENTION;
D O I
10.3390/app10113902
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Various laws and guidelines on designing for safety have been developed world-wide, and these were used to identify risks at construction sites in advance through qualitative and quantitative safe management. In other words, attention is being paid to safe management based on design drawings and models rather than field visits. It was predicted that the introduction of the concept of design-for-safety would minimize risk at construction sites through safe management in the design phase. This is because the efficiency and reliability of such a strategy has been demonstrated in various cases abroad. However, domestic design-for-safety suggests a very limited range of evaluation items, so there is a limit to using such strategies in construction sites. Building information modeling (BIM) technology is attracting attention in situations when safe management must also be based on design proposals. Although previous studies on the identification of falling disasters and automatic identification of hazards have been conducted, these studies only deal with a limited range of items for identifying risk items. For example, BIM-based risk extraction, which is limited to falling disasters, is only at the level of risk recognition that can be derived based on the process table, and evaluation is not made accordingly. It is difficult to assess the overall disaster risk in many of the items required for risk rating estimation. In this paper, we solve the above problems by deriving a BIM-based risk rating estimation scenario based on the disaster scenario for automating BIM-based risk rating estimation, and we developed an evaluation system using this method. The BIM-based risk rating estimation methodology was presented through BIM-based hazard extraction, evaluation of requirement information, evaluation item selection, and using the evaluation system in a design-for-safety review.
引用
收藏
页数:21
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