亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Analytical prediction of load-deformation behaviour for bearing at bolt holes

结构工程 变形(气象学) 方位(导航) 欧洲规范 承载力 工程类 材料科学 计算机科学 复合材料 人工智能
作者
Primož Može,Sara Piculin
出处
期刊:Structures [Elsevier]
卷期号:60: 105968-105968 被引量:4
标识
DOI:10.1016/j.istruc.2024.105968
摘要

Although bolted bearing-type connections are widely used in steel structures, knowledge of their deformation behaviour is limited. Deformation behaviour is particularly important for nominally pinned connections, lap connections and other connections with bolts in bearing. Bolted bearing-type connections are characterised by non-linear deformation behaviour in terms of yielding of the material in front of the bolt hole, which occurs at the beginning of the deformation path due to the embedding of the bolt in the steel plate. The paper deals with the formulation of a non-linear analytical expression that describes the embedding of the bolt and allows the designer to estimate the deformation of the bolt hole due to the bearing. The expression was derived based on numerical analysis and confirmed by tests on bolted lap connections made of mild and high-strength steels. Test results of lap joints with different geometries, number of bolts, steel grades and failure modes are also used to demonstrate the applicability of the prediction model. Comparison to the existing Eurocode linear load-deformation model for bearing is also shown. It is shown that the load-deformation relationship for bearing at bolt holes proposed in this paper, which is already included in the new generation of the Eurocode for the design of joints in steel structures, can predict the load-deformation behaviour well. The bearing resistance limit to control the bearing deformation and a simplified linear load-deformation model based on the proposed non-linear model are also presented.

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
凌奕添完成签到 ,获得积分10
1秒前
4秒前
4秒前
牛油果发布了新的文献求助10
8秒前
9秒前
TXZ06完成签到,获得积分10
12秒前
17秒前
22秒前
SiboN完成签到,获得积分10
22秒前
陈俊豪完成签到 ,获得积分10
24秒前
KsL2177完成签到 ,获得积分10
25秒前
27秒前
御龙魄发布了新的文献求助20
30秒前
39秒前
Rainy发布了新的文献求助10
44秒前
NattyPoe应助牛油果采纳,获得10
47秒前
47秒前
51秒前
55秒前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
科研通AI6应助科研通管家采纳,获得30
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
1分钟前
科研通AI6应助科研通管家采纳,获得30
1分钟前
1分钟前
andrele发布了新的文献求助10
1分钟前
1分钟前
量子星尘发布了新的文献求助10
1分钟前
田様应助andrele采纳,获得10
1分钟前
1分钟前
善学以致用应助utopia采纳,获得10
2分钟前
2分钟前
Lucas应助lihongchi采纳,获得10
2分钟前
我是大兴发布了新的文献求助10
2分钟前
我是大兴完成签到,获得积分10
2分钟前
香蕉觅云应助我是大兴采纳,获得10
2分钟前
kendall发布了新的文献求助10
2分钟前
2分钟前
2分钟前
子安完成签到 ,获得积分10
2分钟前
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
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Introduction to strong mixing conditions volume 1-3 5000
Agyptische Geschichte der 21.30. Dynastie 3000
„Semitische Wissenschaften“? 1510
从k到英国情人 1500
Cummings Otolaryngology Head and Neck Surgery 8th Edition 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5763922
求助须知:如何正确求助?哪些是违规求助? 5545655
关于积分的说明 15405616
捐赠科研通 4899439
什么是DOI,文献DOI怎么找? 2635557
邀请新用户注册赠送积分活动 1583744
关于科研通互助平台的介绍 1538830