Damage Identification of Structural Members: Numerical and Experimental Studies

抗弯刚度 结构工程 计算机模拟 有限元法 刚度 非线性系统 数值分析 计算机科学 鉴定(生物学) 工程类 数学 模拟 物理 生物 数学分析 量子力学 植物
作者
C. G. Koh,Guopei Qiao,Ser Tong Quek
出处
期刊:Structural Health Monitoring-an International Journal [SAGE Publishing]
卷期号:2 (1): 41-55 被引量:9
标识
DOI:10.1177/147592103031112
摘要

The main objective of the study is to formulate a numerical strategy suitable for structure member assessment in a quantifiable and objective way. Involving both numerical and experimental studies, the emphasis is on nondestructive damage detection of structural members with predominantly flexural deformations such as beams and columns. A time-domain system identification method, namely the extended Kalman Filter method, is adopted with some modifications. To reduce the identification system nonlinearity and hence improve the convergence performance, the method of stiffness-damping uncoupling is introduced. Flexural members with semirigid connections are modeled by the finite element method. Local damage is assumed to manifest itself as reduction in flexural rigidity. Numerical simulation study is carried out to illustrate the performance of the damage identification strategy, accounting for the effects of measurement noise. Dimensionless indicators are used to reveal the damage location and severity effectively. The problem of numerical leakage is reduced, by comparing average identification results before and after damage. Lastly, an experimental study for a reinforced concrete beam with controlled change in local stiffness further substantiates the feasibility of the proposed strategy.

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
刚刚
刚刚
单纯的富应助科研通管家采纳,获得10
刚刚
无忧应助科研通管家采纳,获得10
刚刚
桐桐应助科研通管家采纳,获得10
刚刚
Ava应助科研通管家采纳,获得10
刚刚
汉堡包应助科研通管家采纳,获得10
刚刚
研友_VZG7GZ应助科研通管家采纳,获得10
刚刚
刚刚
平淡初雪应助科研通管家采纳,获得10
1秒前
田様应助科研通管家采纳,获得10
1秒前
赘婿应助科研通管家采纳,获得10
1秒前
CipherSage应助科研通管家采纳,获得10
1秒前
天天快乐应助科研通管家采纳,获得10
1秒前
Ava应助getDoc采纳,获得10
1秒前
orixero应助科研通管家采纳,获得10
1秒前
英姑应助科研通管家采纳,获得10
1秒前
彭于晏应助科研通管家采纳,获得10
1秒前
1秒前
小二郎应助科研通管家采纳,获得10
1秒前
2052669099应助科研通管家采纳,获得10
1秒前
酷波er应助科研通管家采纳,获得10
1秒前
汉堡包应助科研通管家采纳,获得10
1秒前
无忧应助科研通管家采纳,获得10
1秒前
2秒前
ilihe应助科研通管家采纳,获得10
2秒前
MoX1应助科研通管家采纳,获得10
2秒前
Zhe应助科研通管家采纳,获得10
2秒前
Lucas应助科研通管家采纳,获得20
2秒前
无极微光应助科研通管家采纳,获得20
2秒前
平淡初雪应助科研通管家采纳,获得10
2秒前
今后应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
3秒前
科研通AI6.1应助夏弥桥采纳,获得10
3秒前
3秒前
3秒前
3秒前
3秒前
高分求助中
Psychopathic Traits and Quality of Prison Life 1000
Chemistry and Physics of Carbon Volume 18 800
The formation of Australian attitudes towards China, 1918-1941 660
Signals, Systems, and Signal Processing 610
天津市智库成果选编 600
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
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
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 6451706
求助须知:如何正确求助?哪些是违规求助? 8263440
关于积分的说明 17608260
捐赠科研通 5516344
什么是DOI,文献DOI怎么找? 2903718
邀请新用户注册赠送积分活动 1880647
关于科研通互助平台的介绍 1722664