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A Dynamic Equilibrium-Based Damage Identification Method Free of Structural Baseline Parameters: Experimental Validation in a Two-Dimensional Plane Structure

机译:没有结构基线参数的基于动态平衡的损伤识别方法:二维平面结构中的实验验证

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摘要

A damage identification method named the pseudoexcitation (PE) approach was established previously, the principle of which resides on local examination of perturbation of structural dynamic equilibrium conditions. While showing significant sensitivity to structural damage with small sizes, the approach exhibited high vulnerability to measurement noise owing to the involvement of high-order derivatives of the vibration displacements in the expression of the damage index. On the other hand, several baseline parameters (e.g.,Young's modulus and density) are necessary to implement the approach and limits the practical application of the approach. A weak formulation of the PE approach was established to circumvent the interference from measurement noise. However, the weak formulation of two-dimensional (2D) structural component has not been developed, and the reliance of the weak formulation on baseline parameters remains an unsolved issue. In this paper, the 2D weak formulation of the PE approach was proposed by introducing a weighting function in terms of the 2D Gauss function. Through an integration operation, the selected weighting function was able to significantly highlight the feature of structural damage and largely suppress noise influence. Furthermore, a statistical strategy was developed to inversely estimate the values of baseline parameters, which signifies the elimination of the dependence of the PE approach on preobtained baseline parameters. As a proof-of-concept investigation, multidamage in a plane structure consisting of both beam and plate components were identified by using the modified damage identification method. A hybrid data fusion algorithm was then used to enhance the accuracy of damage detection, revealing not only the locations, but also the sizes of damaged zones.
机译:先前建立了一种称为伪激励(PE)方法的损伤识别方法,其原理在于对结构动态平衡条件的扰动进行局部检查。虽然对小尺寸的结构损伤表现出显着的敏感性,但由于振动位移的高阶导数参与了损伤指数的表达,因此该方法对测量噪声表现出很高的脆弱性。另一方面,实施该方法需要几个基线参数(例如,杨氏模量和密度),并且限制了该方法的实际应用。建立了PE方法的弱公式来规避测量噪声的干扰。但是,尚未开发出二维(2D)结构组件的弱公式,弱公式对基线参数的依赖仍未解决。在本文中,通过引入基于2D高斯函数的加权函数,提出了PE方法的2D弱公式。通过积分运算,选定的加权函数能够显着突出结构损坏的特征并在很大程度上抑制噪声影响。此外,开发了一种统计策略来反估计基线参数的值,这表明消除了PE方法对预先获得的基线参数的依赖性。作为概念验证研究,使用改进的损伤识别方法识别了由梁和板组成的平面结构中的多损伤。然后使用混合数据融合算法来提高损坏检测的准确性,不仅显示位置,还显示损坏区域的大小。

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