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Damage detection of wood beams using the differences in local modal flexibility

机译:利用局部模态柔性的差异检测木梁的损伤

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摘要

Local damage such as knots, decay, and cracks can result in a reduction of service life due to mechanical and environmental loadings. In wood construction, it is very important to evaluate the weakest location and to detect damage at the earliest possible stage to avoid future catastrophic failure. In this study, modal testing was carried out on wood beams to generate the first two mode shapes. A novel statistical algorithm was proposed to extract the damage indicator by computing the local modal flexibility before and after damage in timbers. Different damage severities, damage locations, and damage counts were simulated by removing mass from intact beams to verify the algorithm. The results indicated that the proposed statistical algorithm is effective and suitable for the damage scenarios considered. The algorithm was reliable for detecting and locating local damage under different damage scenarios. The peak values of the damage indicators computed from the first two mode shapes were sensitive to different damage severities and locations. This approach was also reliable for detecting multiple defects.
机译:由于机械和环境负荷,诸如打结,衰减和裂缝之类的局部损坏可能会导致使用寿命缩短。在木结构建筑中,评估最薄弱的位置并尽早发现损坏非常重要,以避免将来发生灾难性故障。在这项研究中,对木梁进行了模态测试,以生成前两个模态形状。提出了一种新颖的统计算法,通过计算木材破坏前后的局部模态柔韧性来提取破坏指标。通过从完整光束中去除质量来模拟不同的损伤严重程度,损伤位置和损伤计数,以验证算法。结果表明,所提出的统计算法是有效的,适用于所考虑的破坏情况。该算法对于不同损伤场景下的局部损伤的检测和定位是可靠的。由前两种模式形状计算出的损伤指标的峰值对不同的损伤严重度和位置敏感。这种方法对于检测多个缺陷也是可靠的。

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