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使用改进的概率层析成像算法和损伤指标融合对弯曲复合材料结构进行定量缺陷检测。

Quantitative defect inspection in the curved composite structure using the modified probabilistic tomography algorithm and fusion of damage index.

机构信息

School of Aerospace Engineering, Xiamen University, Xiamen 361005, China.

出版信息

Ultrasonics. 2021 May;113:106358. doi: 10.1016/j.ultras.2021.106358. Epub 2021 Feb 2.

Abstract

The curved composite structures are popularly used in the aerospace field for their superior properties. Complexity of structure and geometry generally limit the inspection or monitoring effect of different types of defects in the curved composite structure. A feasible damage probabilistic tomography algorithm combined with ultrasonic guided wave technology is necessary to be developed for the structural health monitoring of curved composite structures. In this paper, defect zones in a curved composite structure are characterized using the modified probabilistic tomography (MPT) method and fusion of damage index (DI). The MPT with the defect shape factor β at each damage-impaired path and hybrid DI schemes are proposed to indicate the location and propagation of defect zones in tested sample. The feasibility of proposed approaches is verified on the curved carbon/epoxy composite structure, experimentally. The results show that the MPT and fusion DI methods successfully represent the extension of defect zones in a quantitative manner. It is suggested that the accuracy and reliability of localization results of the MPT algorithm is better than those obtained by the probabilistic tomography (PT) algorithm with the averaged β.

摘要

弯曲的复合材料结构因其优越的性能在航空航天领域得到了广泛的应用。结构和几何形状的复杂性通常限制了不同类型缺陷在弯曲复合材料结构中的检测或监测效果。为了对弯曲复合材料结构进行结构健康监测,有必要开发一种可行的结合超声导波技术的损伤概率层析成像算法。本文采用改进概率层析成像(MPT)方法和损伤指标(DI)融合技术对弯曲复合材料结构中的缺陷区域进行了特征描述。提出了具有各损伤损伤路径缺陷形状因子β的 MPT 以及混合 DI 方案,以指示测试样品中缺陷区域的位置和传播。在实验上对弯曲碳纤维/环氧树脂复合材料结构验证了所提出方法的可行性。结果表明,MPT 和融合 DI 方法成功地以定量方式表示了缺陷区域的扩展。建议 MPT 算法的定位结果的准确性和可靠性优于平均β的概率层析成像(PT)算法。

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