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首页> 外文期刊>Wood Science and Technology >Acoustic emission characterization of failure mechanisms in oriented strand board using wavelet-based and unsupervised clustering methods
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Acoustic emission characterization of failure mechanisms in oriented strand board using wavelet-based and unsupervised clustering methods

机译：基于小波和无监督聚类的定向刨花板破坏机理的声发射表征

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摘要

The acoustic emission (AE) technique has been used for decades to detect damage onset and propagation in complex materials such as composites. In this research, acoustic emission along with mechanical testing were applied for a better understanding and characterizing of micro- and macrostructural damage mechanisms leading to overall failure and fracture of specimens. For this purpose, strands and also unidirectional laboratory-made oriented strand board specimens were loaded under tensile and bending loads. Parametric analysis of AE, unsupervised pattern recognition algorithm of k-means, and wavelet packet transform were applied to the analysis of the acquired data. The results of the analysis of AE waveforms revealed that the fingerprint of frequency range of strands AE response has been detected in the strand board specimens. The data analysis led to detection and discrimination of different failure mechanisms such as microcracks of strands, strands failure, debonding, and delamination of strand boards using acoustic emission technique. The frequency ranges of strand failure mechanisms, local debonding of strands, and delamination were defined as 0-200, 200-300, and 300-400 kHz, respectively.
机译：声发射（AE）技术已经使用了数十年，用于检测复合材料等复杂材料中的损伤发作和传播。在这项研究中，声发射与机械测试一起用于更好地理解和表征导致整体破坏和试样断裂的微观和宏观结构损伤机制。为此，将钢绞线以及实验室制造的单向定向钢绞线板样本加载到拉伸和弯曲载荷下。 AE的参数分析，k均值的无监督模式识别算法以及小波包变换被用于分析采集的数据。 AE波形分析结果表明，在钢绞线板试样中已检测到钢绞线AE反应频率范围的指纹。数据分析导致使用声发射技术检测和区分不同的破坏机制，例如，股线的微裂纹，股线失效，脱粘和股线板分层。股线失效机制，股线局部剥离和分层的频率范围分别定义为0-200、200-300和300-400 kHz。

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  • 来源
    《Wood Science and Technology》 |2017年第6期|1433-1446|共14页
  • 作者

    Najafi Saeed Kazemi; Sharifnia Houri; Najafabadi Mehdi Ahmadi; Landis Eric;

  • 作者单位

    Tarbiat Modares Univ, Fac Nat Resources, Dept Wood & Paper Sci & Technol, Tehran, Iran;

    Tarbiat Modares Univ, Fac Nat Resources, Dept Wood & Paper Sci & Technol, Tehran, Iran;

    Amirkabir Univ Technol, Dept Mech Engn, Nondestruct Testing Lab, Tehran, Iran;

    Univ Maine, Dept Civil & Environm Engn, Orono, ME USA;

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