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Implementation of the modal flexibility variation to fault identification in thin plates

机译:模态柔性变化在薄板故障识别中的实现

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摘要

In this study a new two-stage procedure has been presented to localize various faults and their corresponding severity in thin plate structures. In the first stage, the variation of modal flexibility and the load-deflection differential equation of plate in conjunction with the invariant expression for the sum of transverse load are utilized to formulate the damage indicator; then an artificial neural network technique is employed to estimate the fault severity of identified parts. The validity of the proposed method is supported by the good correlation obtained between the results of the parametric study and experimental data.
机译:在这项研究中,提出了一种新的两阶段程序来定位薄板结构中的各种断层及其相应的严重性。在第一阶段,利用模态挠度的变化和板的载荷挠度微分方程,结合横向载荷总和的不变表达式,来制定损伤指标;然后采用人工神经网络技术估计已识别零件的故障严重程度。参数研究结果与实验数据之间的良好相关性支持了该方法的有效性。

著录项

  • 来源
    《Acta astronautica》 |2010年第4期|414-426|共13页
  • 作者单位

    Department of Civil Engineering, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Ave., Tehran 15875-4413, Iran;

    Department of Civil Engineering, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Ave., Tehran 15875-4413, Iran;

    Department of Civil Engineering, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Ave., Tehran 15875-4413, Iran;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    plate; modal flexibility; fault indicator; mode shape; artificial neural networks; modal analysis;

    机译:盘子;模态灵活性;故障指示器;振型人工神经网络;模态分析;

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