湖南大学学报(自然科学版)
湖南大學學報(自然科學版)
호남대학학보(자연과학판)
JOURNAL OF HUNAN UNIVERSITY(NATURAL SCIENCES EDITION)
2014年
9期
20-26
,共7页
环境振动信号%小波包分解%框架结构%震后损伤识别%识别效果对比
環境振動信號%小波包分解%框架結構%震後損傷識彆%識彆效果對比
배경진동신호%소파포분해%광가결구%진후손상식별%식별효과대비
environmental vibration record%wavelet packet decomposition%RC frame structure%dam-age identification%identification effect
提出了一种新的损伤指标用于框架结构的震后损伤识别。以环境振动作为激励信号,采用小波包分解理论,利用框架结构损伤后振动信号的能量在频域内的变化,构建损伤指标DI,并给出了损伤识别流程图。在此基础上,以某钢筋混凝土框架结构为例,设定4种震后损伤工况,对框架结构进行了震后损伤识别分析,探讨了不同楼层、不同类型振动信号对损伤识别效果的影响。结果表明:本文构建的损伤指标DI 可以有效识别框架结构的震后损伤,损伤指标DI与损伤程度之间有近似线性的关系;基于较高楼层振动信号的损伤指标值对结构的损伤识别效果较佳;利用速度信号可获得比加速度信号更好的识别效果。
提齣瞭一種新的損傷指標用于框架結構的震後損傷識彆。以環境振動作為激勵信號,採用小波包分解理論,利用框架結構損傷後振動信號的能量在頻域內的變化,構建損傷指標DI,併給齣瞭損傷識彆流程圖。在此基礎上,以某鋼觔混凝土框架結構為例,設定4種震後損傷工況,對框架結構進行瞭震後損傷識彆分析,探討瞭不同樓層、不同類型振動信號對損傷識彆效果的影響。結果錶明:本文構建的損傷指標DI 可以有效識彆框架結構的震後損傷,損傷指標DI與損傷程度之間有近似線性的關繫;基于較高樓層振動信號的損傷指標值對結構的損傷識彆效果較佳;利用速度信號可穫得比加速度信號更好的識彆效果。
제출료일충신적손상지표용우광가결구적진후손상식별。이배경진동작위격려신호,채용소파포분해이론,이용광가결구손상후진동신호적능량재빈역내적변화,구건손상지표DI,병급출료손상식별류정도。재차기출상,이모강근혼응토광가결구위례,설정4충진후손상공황,대광가결구진행료진후손상식별분석,탐토료불동루층、불동류형진동신호대손상식별효과적영향。결과표명:본문구건적손상지표DI 가이유효식별광가결구적진후손상,손상지표DI여손상정도지간유근사선성적관계;기우교고루층진동신호적손상지표치대결구적손상식별효과교가;이용속도신호가획득비가속도신호경호적식별효과。
To address the damage identification problem of frame structures after earthquakes,a new damage identification method based on the wavelet packet decomposition was proposed.The structural vi-bration signal under environmental vibrations was used to constitute damage indicator (DI)as follows:the vibration signal was decomposed into each frequency band with wavelet packet decomposition,then,a damage indicator was established on the basis of the energy ratio variation on frequency domain.On the a-bove basis,a 3D finite element model of a frame structure was created by calculating DI using the proposed method.The influence on the damage identification of different floors and different types of excitation was discussed.The results show that the DI proposed can be used to identify damage effectively and the DI val-ue is approximately linear to the damage degree.Damage identification based on vibration signal of higher floor is better than that of lower floor and the damage identification effect with velocity signals is better than acceleration signals.