Accident cause analysis for lifting prefabricated components of assembled buildings based on hybrid simulation technology from human factor perspective

透视图(图形) 因子(编程语言) 工程类 事故(哲学) 计算机科学 建筑工程 法律工程学 结构工程 人工智能 认识论 哲学 程序设计语言
作者
Xiaobo Shi,Kang Fu,Yaning Qiao,João Santos,Zhenmin Yuan
出处
期刊:Engineering, Construction and Architectural Management [Emerald Publishing Limited]
卷期号:33 (1): 578-601 被引量:6
标识
DOI:10.1108/ecam-04-2024-0431
摘要

Purpose This paper aims to explore the characteristics of lifting accidents and the significance of influencing factors and explain the causes from the perspective of human factors, thereby achieving a more accurate understanding of and prevention of lifting accidents. Design/methodology/approach A mixed simulation model for prefabricated component lifting is established by combining discrete event simulation (DES) with the system dynamics (SD) method. In addition, essential parameters and relationships within the system dynamics model are determined through survey questionnaires. Finally, the human factors analysis and classification system (HFACS) is used to analyze the cause of the accident. Findings The results show that workers falling from height and workers struck by objects are the most frequent types of lifting accidents. In 2072 experiments, these two types of accidents occurred three and five times, respectively. Besides, the links of “crane movement,” “component binding,” “component placement” and “component unhooking” are particularly prone to lifting accidents. In addition, the completeness of emergency plans, failure to observe the status of the tower crane and lack of safety education and training have emerged as primary influencing factors contributing to the occurrence of lifting accidents. Originality/value The findings of the study can serve as a reference basis for practitioners, enabling them to preemptively identify possible risk accidents and adopt corresponding measures to prevent them, ensuring the safety and property of practitioners. Additionally, targeted suggestions and innovative ideas are provided to enhance the safety guarantee of the lifting industry and promote its healthy and stable development through a more concrete theoretical foundation and practical guidance.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
恋返竹询发布了新的文献求助10
刚刚
芒果不忙发布了新的文献求助10
1秒前
开心衣发布了新的文献求助10
1秒前
icoo发布了新的文献求助10
1秒前
鱼辞发布了新的文献求助10
2秒前
一只鱼发布了新的文献求助10
3秒前
科研通AI6.2应助keke采纳,获得10
3秒前
丘比特应助五条悟采纳,获得10
4秒前
薛广苏发布了新的文献求助10
4秒前
5秒前
5秒前
美满的问儿完成签到,获得积分10
6秒前
6秒前
6秒前
朱猪侠完成签到,获得积分10
6秒前
HP发布了新的文献求助150
7秒前
chongming完成签到,获得积分10
8秒前
李健的粉丝团团长应助Jay采纳,获得10
8秒前
9秒前
JIANG完成签到,获得积分10
9秒前
9秒前
科研通AI6.2应助wzy采纳,获得10
9秒前
一页墨城完成签到,获得积分10
9秒前
10秒前
10秒前
xlm完成签到 ,获得积分10
10秒前
哈1823145发布了新的文献求助10
11秒前
12秒前
俭朴的小笼包完成签到,获得积分10
12秒前
Khalil完成签到,获得积分10
12秒前
lemono_o完成签到,获得积分10
13秒前
cocoxue完成签到 ,获得积分10
13秒前
英吉利25发布了新的文献求助10
13秒前
科研通AI6.4应助高高惮采纳,获得10
13秒前
14秒前
周一发布了新的文献求助10
14秒前
大个应助吴兰田采纳,获得20
15秒前
ohh完成签到,获得积分10
15秒前
爆米花应助无语的冰真采纳,获得10
15秒前
Jay完成签到,获得积分10
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The anomeric effect 1000
Principles of town planning: translating concepts to applications 1000
Navigating Normative Orders: Interdisciplinary Perspectives 750
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7734150
求助须知:如何正确求助?哪些是违规求助? 9284606
关于积分的说明 20166133
捐赠科研通 7312014
什么是DOI,文献DOI怎么找? 3304622
关于科研通互助平台的介绍 2457246
邀请新用户注册赠送积分活动 2313779