基于振型多分辨复杂度谱的板结构损伤检测
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TH113.1; TB123

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(国家自然科学基金资助项目(51508156);中国博士后科学基金资助项目(2014M560386);山东省自然科学基金资助项目(ZR2014EL034)


Damage Detection Using Multi-resolution Complexity Spectrum Of Mode Shapes for Plate Structures
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    摘要:

    针对目前基于振型的结构损伤检测方法普遍存在抗噪能力弱、对弱小损伤不敏感等不足,开展了克服这些缺陷的板类结构损伤识别研究。鉴于结构振型中噪声、趋势和损伤信息具有不同的尺度分布特性,基于二维高斯小波变换,提出多尺度振型空间概念,使振型的各成分信息得以独立表达,以凸显损伤信息。通过定义点态复杂度指标,借助滑动窗口法,在多尺度振型空间上形成多分辨复杂度谱。多分辨复杂度谱可使损伤进一步显现,能描述损伤的位置、大小及形状,并能反应损伤程度,实现了在噪声条件下对板类结构轻微损伤的准确表征。基于一实际工程闸门的数值模拟和两个模型试验,验证了所提方法的正确性和有效性。

    Abstract:

    Vibration mode shape based damage detection is a research hotspot in the structure health monitoring field. However, the existing methods are commonly suffered from several limitations such as low immunity to noises and insensitivity to the weak damage. This study aims to develop a new damage detection method for plate-like structures to overcome the limitations. First, multi-scale mode space concept is put forward based on the 2-D Gaussian wavelet transform in view of the different scale characteristics of the noise, trends and damage information in mode shape signal. By this way the components of the mode shape can be independently expressed, and the damage information is highlighted. And then, complexity of a point is defined and by means of the sliding window continuous scanning, multi-resolution complex spectrum is formed in the multi-scale mode. Multi-resolution complexity spectrum can make the damage more apparent and can reveal the damage location, size, shape and damage quantification for plate-like structures in noisy conditions. Numerical simulation of an actual engineering hydraulic gate and two model tests verify the correctness and effectiveness of the proposed theory and method in this paper.

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  • 在线发布日期: 2018-01-09
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