Monotonic moment–curvature relation of an RC beam

曲率 单调函数 有限元法 结构工程 力矩(物理) 铰链 梁(结构) 打滑(空气动力学) 不稳定性 数学分析 数学 几何学 机械 物理 工程类 经典力学 热力学
作者
Hyo‐Gyoung Kwak,S.-P. Kim
出处
期刊:Magazine of Concrete Research [ICE Publishing]
卷期号:54 (6): 423-434 被引量:5
标识
DOI:10.1680/macr.2002.54.6.423
摘要

A monotonic moment–curvature relation to simulate the non-linear behaviour of reinforced concrete (RC) beams is introduced, and material non-linear analyses of RC beams are carried out on the basis of the introduced model. Instead of the sophisticated layered section approach, which has some limitations in application to large structures with many degrees of freedom, we use the moment–curvature relations of RC sections previously constructed through section analysis. To reduce numerical instability according to the finite-element mesh size used, a relation simulating the tension-softening branch is taken into consideration. With the purpose of removing the imprecision in calculation of ultimate resisting capacity, we include the plastic hinge length in finite-element modelling. In addition, the governing equation describing the bond-slip behaviour in beams is derived. Unlike the present bond elements using double nodes, the proposed model uses beam elements representing the structural response by two nodes at both ends simplifies the finite-element modelling and analytical process, along with effectively describing the bond-slip behaviour. Moreover, the developed algorithm is reflected in the moment–curvature relation of the RC section. Finally, correlation studies between analytical and experimental results are conducted with the objective of establishing the validity of the proposed algorithms.

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
1秒前
chfvHJSNK完成签到,获得积分10
1秒前
张开心发布了新的文献求助10
1秒前
科研通AI6.3应助常温可乐采纳,获得10
1秒前
科研通AI6.1应助科研菜鸟采纳,获得10
1秒前
1秒前
2秒前
3秒前
4秒前
NexusExplorer应助林森森采纳,获得10
4秒前
4秒前
zzkkzz发布了新的文献求助10
5秒前
5秒前
DATyyy发布了新的文献求助10
6秒前
小杨完成签到 ,获得积分10
7秒前
嘉仔发布了新的文献求助10
8秒前
曲意风华发布了新的文献求助30
8秒前
情怀应助177采纳,获得10
9秒前
可爱的函函应助177采纳,获得10
9秒前
香蕉觅云应助177采纳,获得30
9秒前
丘比特应助177采纳,获得10
9秒前
李健应助177采纳,获得10
9秒前
CodeCraft应助177采纳,获得10
9秒前
隐形曼青应助177采纳,获得80
9秒前
爆米花应助177采纳,获得10
9秒前
xiongyh10完成签到,获得积分0
9秒前
zsy发布了新的文献求助10
10秒前
科研通AI6.4应助科研菜鸟采纳,获得10
10秒前
10秒前
11秒前
Alexey发布了新的文献求助10
11秒前
赘婿应助哈嘿哈嘿哒采纳,获得10
11秒前
小二郎应助sjq采纳,获得10
12秒前
13秒前
13秒前
A0完成签到,获得积分10
14秒前
科研通AI2S应助洛希极限采纳,获得10
14秒前
qingmei完成签到,获得积分10
15秒前
八嘎牙路发布了新的文献求助30
15秒前
mst发布了新的文献求助10
16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
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 400
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 6443897
求助须知:如何正确求助?哪些是违规求助? 8257681
关于积分的说明 17588349
捐赠科研通 5502643
什么是DOI,文献DOI怎么找? 2901130
邀请新用户注册赠送积分活动 1878137
关于科研通互助平台的介绍 1717548