共查询到16条相似文献，搜索用时 109 毫秒
1.
基于运营环境和提升小波变换的桥梁损伤检测研究 总被引：1，自引：0，他引：1
根据损伤桥梁在车辆荷载作用下的动力响应特点,以及提升小波变换对信号突变信息的放大功能,提出了利用桥梁运营荷载作用下加速度响应提升小波变换系数的分布特性对结构损伤进行识别的方法。首先,采集桥梁在行车荷载作用下的加速度响应信号;然后,对加速度响应信号进行提升小波变换,分别利用加速度响应信号、加速度响应信号差,提升小波变换系数空间变化的峰值识别损伤位置;最后,对行车速度、损伤位置、损伤程度和测量噪声对损伤识别效果的影响进行了分析讨论。结果表明：在行车速度8m/s以下、测量噪声不高于5%情况下,利用运营荷载作用下桥梁单点动力响应信号提升小波变换,可以实现桥梁多处损伤的检测和识别。 相似文献
2.
曲率模态小波法用于网壳结构损伤的识别和定位 总被引：1，自引：0，他引：1
工程结构损伤的识别与定位研究以往主要针对梁、框架等结构形式,根据大跨度空间结构杆件和节点繁多等特点,提出用曲率模态和小波混合方法对空间结构的损伤进行识别和定位.以跨度100 m的Schwedler网壳结构损伤前、后的曲率模态作为标识量,分别通过离散和连续小波变换,判断网壳结构有无损伤和损伤位置,统计了小波系数差与结构损伤的图形关系,计算了各种损伤工况下该方法判断损伤的准确程度.结果发现基于曲率模态和小波方法的大跨度网壳结构损伤定位精度很高,充分证明该方法对此类结构损伤定位具有有效性和实用性. 相似文献
3.
为快速识别地震导致的框架结构损伤，采用一种新的损伤识别方法，即振型曲率演化法。该方法采用S变换对结构顶部的加速度进行分析，进而得出地震前与地震期间的两个重要时刻，然后通过计算这两个时刻的振型曲率差识别结构薄弱层位置。为验证该方法的合理性和有效性，以6层3跨RC框架结构为例，在不同地震波和不同调幅工况下，分别对比振型曲率演化法与单参数层间位移角、双参数损伤指数两种损伤指标识别的结构薄弱层位置。在此基础上进一步研究了振型曲率差与两种损伤指标之间的相关性，并建立了线性关联模型来识别薄弱层损伤程度。结果表明：振型曲率演化法与两种损伤指标在不同地震工况作用下识别的薄弱层有很好的一致性，说明该方法能够准确识别结构薄弱层位置。振型曲率差与两种损伤指标之间的拟合公式的相关系数均在0.8以上，相关性都很高，通过分析这种相关性，可以利用振型曲率差获得结构薄弱层的损伤程度。 相似文献
4.
5.
结构健康监测和结构状态评估的主要前提之一是结构损伤识别。基于曲率模态对结构局部损伤比较敏感和频率指标测试简单方便、精度高的特点,本文提出了一种以结构的曲率模态为基础,综合考虑频率的变化的改进的结构损伤识别方法。随机子空间方法是一种行之有效的基于环境激励的结构状态识别方法。该方法的主要优点是无需人工激励,不中断桥梁的运营。为此,论文提出了一种不中断桥梁运营的基于改进曲率模态的桥梁结构损伤识别方法。最后用一三跨连续梁的有限元模型对该改进方法进行了验证。结果表明,采用随机子空间结合改进的曲率模态方法可以在不中断桥梁运营的前提下有效地识别出桥梁的损伤状况。 相似文献
6.
7.
8.
经验模分解及小波分析在结构损伤识别中的应用:试验研究 总被引：2，自引：0，他引：2
本文利用一个三层剪切型结构模型在各种激励下的振动台试验，研究经验模分解（empirical mode decomposition，EMD）和小波分析（wavelet analysis，WA）在结构损伤识别中的应用。研究针对结构刚度突然损失的损伤类型，并在试验中通过连接在模型两侧的弹簧的断裂来模拟。利用EMD和WA分析试验记录到的结构加速度信号来识别结构损伤发生的时刻和位置。试验结果表明，EMD和WA方法均可利用分解信号中的尖峰准确识别结构损伤发生的时刻，并利用信号尖峰在结构上的空间分布来确定损伤位置。研究表明，EMD和WA都是进行结构在线检测的良好方法。 相似文献
9.
小波分析在结构损伤识别中的应用 总被引：1，自引：0，他引：1
为提高结构损伤识别方法的准确性和适用性,将小波分析引入到结构损伤识别中。本文首先介绍了小波分析的基本原理,然后详细论述了小波分析用于结构损伤识别的三种方法:基于时域响应的方法、基于空间域响应的方法和小波分析与其他方法联合使用,接着分析了各种方法的应用现状、适用范围和存在的问题。通过比较可以看出小波分析用于结构损伤识别有着广阔的应用前景,本文最后针对进一步研究的方向提出了五点建议。 相似文献
10.
基于曲率模态和小波变换的结构损伤位置识别 总被引：12，自引：3，他引：9
小波变换具有在时域和频域内表征信号局部特性的能力,能够在不同尺度下对结构响应中的突变信号进行放大和识别.在结构曲率模态基础上,本文提出了一种基于小波变换的结构损伤检测和定位方法.利用双正交小波函数对损伤前后结构的曲率模态进行小波变换,用损伤前后小波变换系数残差建立了结构损伤指标,通过小波变换系数残差的分布统计情况判定损伤的存在并确定其位置.应用简支梁数值模拟结果对该方法进行了验证. 相似文献
11.
基于小波分析的结构损伤检测研究进展 总被引：18，自引：1，他引：17
近10几年来,在土木和机械领域结构损伤识别方法已引起不同领域的相关学者的极大研究兴趣。小波分析是一种新的数学分析和信号处理工具,可以对非稳态信号进行详细的时频分析,是传统傅里叶分析所不能及的,已广泛应用于土木、机械和航空工程领域中,特别是在结构损伤识别和健康监测中的应用尤为突出。本文回顾和总结了小波分析理论及其在结构损伤识别、损伤定位和损伤程度确定中的应用,对今后的研究进行了讨论和展望。 相似文献
12.
In this paper, a new approach to structural damage detection is presented using mode shape difference between the reference and damage states. In order to capture and display the signal of damage, wavelet transformation is performed upon the mode shape difference function. Results show that this presentation of signal is effective for damage detection. Furthermore, practical aspects of damage identification are investigated, including understanding and using the frequency contents of the mode shape difference function, the mother wavelet function and the resulting wavelet coefficients due to the band‐limited filtering of wavelet transformation. This proposition is experimented. Results are assertive of the proposed concept. Copyright © 2007 John Wiley & Sons, Ltd. 相似文献
13.
利用小波多分辨率分析将地震动加速度分解为多频段小波分量,并运用复模态方法推导其计算层间隔震体系在地震作用下的动力响应公式,讨论各频段地震信号及结构响应的能量分配。同时利用小波时频工具分析地震动能量在时频域内的分布对层间隔震结构响应的影响,进而为考察地震动非平稳性对层间隔震结构非线性分析的影响提供方法。利用小波分析的以上优势,对一典型层间隔震结构分别进行弹性和弹塑性分析,结果表明弹性体系在地震作用下的响应可由该地震波各小波分量的响应叠加而得,地震动能量在时间上的集中会对层间隔震结构响应产生不利影响。 相似文献
14.
Hae Young Noh Dimitrios G. Lignos K. Krishnan Nair Anne S. Kiremidjian 《地震工程与结构动力学》2012,41(4):681-696
Fragility functions are commonly used in performance‐based earthquake engineering for predicting the damage state of a structure subjected to an earthquake. This process often involves estimating the structural damage as a function of structural response, such as the story drift ratio and the peak floor absolute acceleration. In this paper, a new framework is proposed to develop fragility functions to be used as a damage classification/prediction method for steel structures based on a wavelet‐based damage sensitive feature (DSF). DSFs are often used in structural health monitoring as an indicator of the damage state of the structure, and they are easily estimated from recorded structural responses. The proposed framework for damage classification of steel structures subjected to earthquakes is demonstrated and validated with a set of numerically simulated data for a four‐story steel moment‐resisting frame designed based on current seismic provisions. It is shown that the damage state of the frame is predicted with less variance using the fragility functions derived from the wavelet‐based DSF than it is with fragility functions derived from an alternate acceleration‐based measure, the spectral acceleration at the first mode period of the structure. Therefore, the fragility functions derived from the wavelet‐based DSF can be used as a probabilistic damage classification model in the field of structural health monitoring and an alternative damage prediction model in the field of performance‐based earthquake engineering. Copyright © 2011 John Wiley & Sons, Ltd. 相似文献
15.
This paper deals with the problem of generating spectrum-compatible artificial accelerograms for seismic dynamic analysis of engineering projects. A wavelet-packet-based, two-step procedure for the issue is proposed. The first step is to generate acceleration time history that could account for temporal and frequency non-stationarities of recorded ground motions. The second step is to decompose it into a desired number of wavelet packet vectors with high frequency resolution and non-overlapping frequency contents. Then each wavelet packet vector is scaled suitably and iteratively for the response spectrum of the simulated accelerogram to fit a specified design spectrum. The advantages of this procedure are that it can simulate user-specified acceleration time history with only 6 input parameters and the adjusted accelerogram has similar characteristics to the recorded one. The proposed procedure has been illustrated by simulating and modifying acceleration time history that are compatible with two different design spectrums for nuclear power plants. In addition, iterative efficiency of the method is investigated by simulating and adjusting acceleration time history for 100 successive times. The maximum relative error of the 76 period control points can reach 6% or below. Results show that the proposed method is effective and practical to generate and find spectrum-compatible ground motions with both stochastic and deterministic aspects. 相似文献
16.
Usually different nonlinear time responses due to earthquake ground motion are distinguished by non-localized spectra, such as the response or power spectra. However, these spectra are often not able to explain the large discrepancy among structural responses caused by different earthquake records. The local spectrum, obtained by the wavelet transform, shows the energy distribution in the time-frequency domain, and helps to understand the very different structural responses. By changing the energy distribution in time of several earthquake records, the effect of energy concentration on the structural nonlinear response is demonstrated. This paper proposes the use of the characteristic peak ground acceleration, which is the peak of the signal constructed by only a few special wavelet components of an earthquake record, to quantify the difference between earthquake records, since this measure indicates the magnitude of the energy concentrated around the fundamental period of a structure. 相似文献