Fastening reliability analysis of bolted joint anti-self-loosening

螺栓连接 结构工程 接头(建筑物) 有限元法 可靠性(半导体) 工程类 变形(气象学) 预加载 材料科学 复合材料 功率(物理) 量子力学 医学 物理 内科学 血流动力学
作者
Zhiqun Zheng,Xinglin Miao,Xianzhen Huang,Pengfei Ding
出处
期刊:Journal of Constructional Steel Research [Elsevier BV]
卷期号:202: 107776-107776 被引量:18
标识
DOI:10.1016/j.jcsr.2023.107776
摘要

In the absence of external forces, the preload of the bolted joint will decrease due to self-loosening after the tightening process is completed. Self-loosening of a bolted joint will result in unstable contact between connected components, affecting the overall performance of mechanical equipment. This paper proposes a method for fastening reliability analysis of bolted joints considering the uncertainty of preload, friction coefficients, and material properties. The finite element method (FEM) is used to study the self-loosening behavior of a bolted joint under elastic conditions. The metamodel is constructed based on the proposed finite element model to improve computational efficiency. In addition, the fastening reliability of the bolted joint is calculated using the Monte Carlo simulation (MCS) method. Finally, the practical application of calculating the fastening reliability and a detailed analysis is presented to evaluate the proposed method's efficiency. The results show that the recovery of accumulated elastic deformation of a bolted joint generates self-loosening. In contrast, the torsional elastic deformation of the bolt rod causes relative rotation between the bolt and the nut. When the characteristic parameters obey the normal distribution, the probability distribution of preload reduction ratio approximately obeys the normal distribution. According to the proposed reliability calculation method, the reliability of bolted joint self-loosening is 99.7725% when the preload reduction ratio exceeding 0.026 is considered as self-loosening failure.
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
lt完成签到,获得积分10
刚刚
刚刚
qiuqiu完成签到,获得积分10
1秒前
1秒前
KK完成签到,获得积分10
1秒前
派大力发布了新的文献求助10
1秒前
2秒前
六六发布了新的文献求助10
3秒前
彭于晏应助王东王采纳,获得50
5秒前
qian发布了新的文献求助10
5秒前
5秒前
6秒前
6秒前
伴音完成签到,获得积分10
6秒前
彭于晏应助曾经的安雁采纳,获得10
7秒前
7秒前
8秒前
8秒前
IyGnauH完成签到 ,获得积分10
9秒前
秉烛游发布了新的文献求助20
9秒前
orixero应助庞大的蝰蛇采纳,获得20
9秒前
VK2801发布了新的文献求助10
10秒前
闪闪的忆枫应助雾雪零尘采纳,获得10
10秒前
今后应助雾雪零尘采纳,获得10
10秒前
10秒前
lt发布了新的文献求助10
11秒前
调皮铸海发布了新的文献求助10
11秒前
陆吾发布了新的文献求助10
11秒前
11秒前
11秒前
Czzzz发布了新的文献求助10
12秒前
okok发布了新的文献求助10
12秒前
12秒前
蘑菇小酥发布了新的文献求助20
12秒前
13秒前
dingdign发布了新的文献求助10
13秒前
11完成签到,获得积分20
13秒前
shu发布了新的文献求助10
13秒前
13秒前
qlq完成签到 ,获得积分10
14秒前
高分求助中
Clinical Epidemiology: The Essentials, 6e 10000
(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 Graphene Handbook (2019 Edition) 800
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
IEST-RP-CC018: Cleanroom Cleaning and Sanitization: Operating and Monitoring Procedures 600
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6540487
求助须知:如何正确求助?哪些是违规求助? 8331686
关于积分的说明 17854231
捐赠科研通 5646189
什么是DOI,文献DOI怎么找? 2936335
邀请新用户注册赠送积分活动 1912418
关于科研通互助平台的介绍 1773290