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

机译:基于正交的分解基于模型过滤器,用于复合结构的健康监测

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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的健康监测算法。碳/环氧复合板的有限元模型用于产生健康和受损结构的振动数据。通过改变结构中有限元的有限元件的刚度降低来模拟损坏。五种不同的随机励磁输入用于调查的三个损坏位置中的每一个。结果表明,除固定边界接近,该算法呈现出良好的损坏位置和严重程度。计划进一步研究,以优化损坏检测算法并通过实验验证。

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