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Model-based vibration diagnostic of cracked beams in the time domain.

机译:基于模型的时域裂纹梁振动诊断。

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摘要

A time-domain model-based crack diagnostic methodology using vibration data is presented. Most of the damage detection methods proposed to date are based on modal parameters and are limited by the loss of information caused by data reduction and by the implicit assumption of linearity. The use of time domain information permits the direct inclusion of the nonlinear behavior due to crack opening-closure cycles. In addition, very little information is lost, since no signal processing or parameter identification steps are involved. The proposed method is based on a continuous model for the transverse vibrations of beams consisting of partial differential equations of motion with varying coefficients to account for the presence of damage. In order to provide accurate representation of the structure's behavior over a broader frequency range, a new continuous cracked beam model including shear effects and rotatory inertia is developed using the Hu-Washizu-Barr variational method. The resulting equations of motion are discretized by a Galerkin method using local B-splines as test functions. The crack is assumed to be either fully open or fully closed, resulting in a bilinear system. The simultaneous identification of crack location and depth is performed by minimizing the norm of the differences between the numerical and experimental time responses to multiple excitations. Impact, low frequency sinusoidal and Schröeder-phased multisine inputs are investigated as potential excitation methods. The cost function to be minimized presents several local minima that are shown to be related to the length of the response records. A genetic algorithm is used to overcome the multimodal nature of the objective function. The methodology is validated through simulated identifications of several damage scenarios. The importance of the inclusion of the nonlinear behavior is addressed, and the effects of model uncertainties and measurement noise are quantified in terms of minimum identifiable crack size.
机译:提出了一种使用振动数据的基于时域模型的裂纹诊断方法。迄今为止,提出的大多数损坏检测方法都是基于模态参数,并受到数据缩减和线性隐式假设所造成的信息丢失的限制。时域信息的使用允许由于裂纹的开闭循环而直接包含非线性行为。另外,由于不涉及信号处理或参数识别步骤,因此几乎没有信息丢失。所提出的方法基于梁的横向振动的连续模型,该模型由具有变化系数的运动的偏微分方程组成,以解决损伤的存在。为了在更宽的频率范围内准确表示结构的行为,使用Hu-Washizu-Barr变分方法开发了一种新的连续剪切梁模型,包括剪切效应和旋转惯性。所得的运动方程通过Galerkin方法离散化,并使用局部B样条曲线作为测试函数。假定裂纹完全打开或完全闭合,从而形成双线性系统。通过最小化对多种激发的数值和实验时间响应之间的差异的范数,可以同时识别裂纹的位置和深度。研究了冲击,低频正弦波和薛定-相位多正弦输入作为潜在的激励方法。要最小化的成本函数表示几个局部最小值,这些最小值与响应记录的长度有关。遗传算法用于克服目标函数的多峰性质。通过对几种破坏情景的模拟识别,验证了该方法。解决了包含非线性行为的重要性,并根据最小可识别裂纹尺寸对模型不确定性和测量噪声的影响进行了量化。

著录项

  • 作者单位

    Virginia Polytechnic Institute and State University.;

  • 授予单位 Virginia Polytechnic Institute and State University.;
  • 学科 Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2000
  • 页码 149 p.
  • 总页数 149
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;
  • 关键词

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