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Structural damage identification using test static data based on grey system theory

机译:基于灰色系统理论的静态试验数据识别结构损伤

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摘要

A new structural damage identification method using limited test static displacement based on grey system theory is proposed in this paper. The grey relation coefficient of displacement curvature is defined and used to locate damage in the structure, and an iterative estimation scheme for solving nonlinear optimization programming problems based on the quadratic programming technique is used to identify the damage magnitude. A numerical example of a cantilever beam with single or multiple damages is used to examine the capability of the proposed grey-theory-based method to localize and identify damages. The factors of measurement noise and incomplete test data are also discussed. The numerical results showed that the damage in the structure can be localized correctly through using the grey-related coefficient of displacement curvature, and the damage magnitude can be identified with a high degree of accuracy, regardless of the number of measured displacement nodes. This proposed method only requires limited static test data, which is easily available in practice, and has wide applications in structural damage detection.
机译:提出了一种基于灰色系统理论的有限试验静位移识别结构损伤的新方法。定义了位移曲率的灰色关联系数,并将其用于确定结构中的损伤,并使用基于二次规划技术的非线性优化规划问题的迭代估计方案来确定损伤的大小。具有单个或多个损坏的悬臂梁的数值示例用于检查所提出的基于灰色理论的方法定位和识别损坏的能力。还讨论了测量噪声和测试数据不完整的因素。数值结果表明,通过使用与灰色相关的位移曲率系数,可以将结构中的损伤正确地定位,并且不管所测位移节点的数量如何,都可以高精度地识别损伤程度。所提出的方法仅需要有限的静态测试数据,该数据在实践中容易获得,并且在结构损伤检测中具有广泛的应用。

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