Robust design of a TMD for the vibration serviceability of a footbridge

计算机科学 参数统计
作者
Klaus Lievens,Geert Lombaert,Guido De Roeck,Peter Van den Broeck
出处
期刊:Engineering Structures [Elsevier BV]
卷期号:123: 408-418 被引量:39
标识
DOI:10.1016/j.engstruct.2016.05.028
摘要

Abstract Footbridges are often designed as slender structures, sensitive to human-induced excitation. In the case where the prevailing vibration serviceability requirements are not met, vibration reduction measures such as tuned mass dampers (TMDs) are needed. Both the prediction of the structural response and the design of the TMD rely on the modal parameters of the footbridge. Measurements after construction of footbridges have shown that it is difficult to accurately predict these modal parameters even with detailed finite element models based on structural drawings. Moreover, these parameters evolve in time due to changing environmental conditions and degradation. It is important to take into account these uncertainties in the vibration serviceability assessment as well as in the design of vibration reduction measures. The present paper proposes a robust optimisation approach for the design of a TMD which accounts for uncertainties in the modal parameters. The aim is to minimise the mass of the TMD, assumed as a measure for the cost, by tuning the mass, stiffness and damping values, while guaranteeing that vibration serviceability is satisfied for a range of possible values of the natural frequency and modal damping. In order to investigate the trade-off between the mass of the TMD (cost) and the level of uncertainty, a multi-interval approach is adopted. The optimal parameters are found to change significantly with the level of uncertainty. The TMD mass and damping increase for a higher level of uncertainty to satisfy the vibration serviceability requirements in all possible cases.

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
ppat5012完成签到,获得积分10
1秒前
omega发布了新的文献求助10
2秒前
3秒前
lilian完成签到,获得积分10
8秒前
光亮熠彤完成签到,获得积分10
9秒前
11秒前
11秒前
呆萌的毛衣完成签到,获得积分10
11秒前
刘丰铭完成签到,获得积分10
11秒前
13秒前
幻梦完成签到,获得积分10
13秒前
13秒前
14秒前
栗子完成签到 ,获得积分10
14秒前
14秒前
llc完成签到 ,获得积分10
16秒前
罗罗诺亚发布了新的文献求助10
19秒前
tt发布了新的文献求助10
19秒前
安徽梁朝伟完成签到,获得积分10
19秒前
小马甲应助neuarcher采纳,获得30
22秒前
24秒前
sam完成签到,获得积分10
28秒前
楼马完成签到 ,获得积分10
30秒前
31秒前
fanf完成签到,获得积分10
31秒前
fwda1000完成签到 ,获得积分10
32秒前
Li发布了新的文献求助10
34秒前
36秒前
Ava应助大方的盼雁采纳,获得10
38秒前
温暖的台灯完成签到,获得积分10
38秒前
DD完成签到 ,获得积分10
39秒前
小马甲应助arniu2008采纳,获得10
39秒前
lilycat完成签到,获得积分10
43秒前
善学以致用应助哈哈哈采纳,获得10
44秒前
阿克图尔斯·蒙斯克完成签到,获得积分10
44秒前
donnolea完成签到 ,获得积分10
45秒前
46秒前
好耶完成签到 ,获得积分10
49秒前
49秒前
49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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
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 6348511
求助须知:如何正确求助?哪些是违规求助? 8163496
关于积分的说明 17174083
捐赠科研通 5404931
什么是DOI,文献DOI怎么找? 2861853
邀请新用户注册赠送积分活动 1839623
关于科研通互助平台的介绍 1688936