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Experimental and numerical studies on damage localization of simply supported beams based on curvature difference probability method of waveform fractal dimension

机译:基于波形分形维数曲率差概率法的简支梁损伤定位试验与数值研究

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摘要

Accurate structural damage localization in engineering is still a challenge due to high noise and low accuracy of the structural finite element model. With the most basic type of construction, the simply supported beam is the most widely used type of structures in short and medium span bridges. Therefore, it is imperative to study their damage detection methods, which can be used in engineering. To solve this problem, an alternative method for damage detection is proposed in this study on the basis of fractal theory and curvature mode shapes method: the curvature difference probability method of waveform fractal dimension. The influence of different amplitudes of excitation on results and the robustness against noise are also discussed. Based on a simply supported beam model in the laboratory, both the experimental and numerical results using the technique under step or pulse excitation indicate that the proposed method can be used in damage localization very well, and it exhibits high-noise insusceptibility: it is still feasible even if the noise level is up to 15%, which lays a good foundation for engineering application. Moreover, the proposed technology needs no finite element model of the detected structures. Therefore, it is quite simple in the procedure.
机译:由于结构有限元模型的高噪声和低精度,工程中准确的结构损伤定位仍然是一个挑战。在最基本的结构类型中,简单支撑的梁是中短跨度桥梁中使用最广泛的结构类型。因此,有必要研究其损伤检测方法,并将其应用于工程中。为了解决这个问题,在分形理论和曲率模式形状方法的基础上,提出了一种替代的损伤检测方法:波形分形维数的曲率差概率方法。还讨论了不同振幅的激励对结果的影响以及抗噪声的鲁棒性。在实验室中基于简单支持的梁模型的情况下,使用步进或脉冲激励技术的实验和数值结果均表明,该方法可以很好地用于损伤定位,并且显示出高噪声敏感性:即使噪声水平高达15%也是可行的,这为工程应用奠定了良好的基础。而且,所提出的技术不需要所检测结构的有限元模型。因此,该过程非常简单。

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