Finite element model updating using antiresonant frequencies

Finite element model updating using antiresonant frequencies
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DOI:
10.1006/jsvi.2001.3697
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发表时间:
2002-05
期刊:
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影响因子:
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通讯作者:
Keith W. Jones;J. Turcotte
Keith W. Jones;J. Turcotte
中科院分区:
其他
文献类型:
--
作者:
Keith W. Jones;J. Turcotte

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本文将反共振频率引入到一个六米长的实验铝合金桁架的有限元模型修正中,并利用反共振频率进行损伤检测,分析了修正模型的物理正确性。刚性单元用于简化焊接接头的建模,其尺寸被用作基于特征值和反共振灵敏度的迭代更新中的参数。使用自然频率和反共振频率的更新比只使用自然频率的更新产生更好的实验频率响应函数(FRF)的相关性为46%。反共振修正模型用于预测桁架在112个损伤构型下的FRF。模式分类和曲线拟合损伤检测算法进行了测试。曲线拟合方法在92.6%的时间内正确识别出损伤,而模式分类器的正确识别率为76.1%。该模型的高质量是由于使用的刚性元素,使用反共振频率更新。
This paper uses antiresonant frequencies in the finite element model updating of an experimental six-meter aluminum truss and analyzes the physical correctness of the updated model by using it to detect damage. Rigid elements are used to simplify the modeling of welded joints, and their dimensions are used as parameters in an iterative update based on eigenvalue and antiresonance sensitivities. An update using both natural frequencies and antiresonant frequencies is shown to produce a 46% better correlation to experimental frequency response functions (FRFs) than an update that uses only natural frequencies. The antiresonant updated model is used to predict FRFs for the truss in 112 damaged configurations. Pattern classification and curve-fit algorithms for damage detection are tested. The curve-fit method correctly identified damage 92.6% of the time compared to 76.1% for the pattern classifier. The high quality of the model is attributed to the use of rigid elements that are updated using antiresonant frequencies.