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Identification of Impact Force Based on Compressive Sensing in Large Structural Health Monitoring

机译:大型结构健康监测中基于压缩感知的冲击力识别

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Recently, the investigations on the impact force identification in aircraft primary structures have been undertaken in order to keep up the integrity and operation safety of these structures. How to obtain a fast and accurate impact force is an important problem to be addressed deeply in large structural health monitoring. In the paper, the Compressive Sensing (CS) is intoduced to deal with the impact force identification problem in the large structure. Firstly, an effective impact force identification based on Chebyshev polynomial basis function and the modal superposition principle is introduced. Secondly, CS theory is given, and an impact force identification method is developed based on CS, which consists of the sparse model, the sensing matrix, and the optimization reconstruction problem. Lastly, the proposed impact force identification approach is illustrated through a large aerospace aluminum plate structure simulation experiment The result shows that the method can fast and correctly identify the impact force in the large-scale structure.
机译:最近,已经进行了对飞机主要结构中的冲击力识别的研究,以保持这些结构的完整性和操作安全性。如何获得快速,准确的冲击力是在大型结构健康监测中需要深切解决的重要问题。本文提出了压缩感知(CS)来解决大型结构中的冲击力识别问题。首先,介绍了一种基于切比雪夫多项式基函数和模态叠加原理的有效冲击力识别方法。其次,给出了CS理论,提出了一种基于CS的冲击力识别方法,该方法由稀疏模型,传感矩阵和优化重构问题组成。最后,通过大型航空铝板结构仿真实验,说明了所提出的冲击力识别方法。结果表明,该方法可以快速,正确地识别大型结构中的冲击力。

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