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Proper Orthogonal Decomposition Based Model Filter for Health Monitoring of Composite Structures

机译:基于正交分解的模型过滤器用于复合结构健康监测

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This study presents an algorithm based on the proper orthogonal decomposition technique for health monitoring of composite structures. A finite element model of a carbon/epoxy composite plate is used to generate vibration data for healthy and damaged structures. Damage is simulated by varying levels of stiffness reduction for the finite elements in the damaged zone of the structure. Five different random excitation inputs are used for each of the three damage locations investigated. The results show that the algorithm gives a good indication of damage location and severity, except close to the fixed boundary. Further studies are planned to refine the damage detection algorithm and validate it experimentally.
机译:本研究提出了一种基于适当正交分解技术的复合结构健康监测算法。碳/环氧树脂复合板的有限元模型用于生成健康和受损结构的振动数据。通过改变结构受损区域中有限元的刚度降低程度来模拟损伤。对于研究的三个损坏位置中的每个,使用五个不同的随机激励输入。结果表明,该算法可以很好地表明损伤的位置和严重程度,除了接近固定边界。计划进行进一步的研究以完善损坏检测算法并通过实验进行验证。

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