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Location of Tensile Damage Source of Carbon Fiber Braided Composites Based on Two-Step Method

机译:基于两步法的碳纤维编织复合材料拉伸损伤源的位置

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摘要

Acoustic emission (AE) source localization is one of the important purposes of nondestructive testing. The localization accuracy reflects the degree of coincidence between the identified location and the actual damage location. However, the anisotropy of carbon fiber three-dimensional braided composites will have a great impact on the accuracy of AE source location. In order to solve this problem, the time-frequency domain characteristics of AE signals in a carbon fiber braided composite tensile test were analyzed by Hilbert−Huang transform (HHT), and the corresponding relationship between damage modes and AE signals was established. Then, according to the time-frequency characteristics of HHT of tensile acoustic emission signals, the two-step method was used to locate the damage source. In the first step, the sound velocity was compensated by combining the time-frequency analysis results with the anisotropy of the experimental specimens, and the four-point circular arc method was used to locate the initial position. In the second step, there is an improvement of the Drosophila optimization algorithm, using the ergodicity of the chaotic algorithm and congestion adjustment mechanism in the fish swarm algorithm. The smoothing parameters and function construction in the probabilistic neural network were optimized, the number of iterations was reduced, the location accuracy was improved, and the damage mode of composite materials was obtained. Then, the damage location was obtained to achieve the purpose of locating the damage source.
机译:声发射(AE)源定位是无损检测的重要目的之一。定位精度反映的巧合所标识的位置与实际损伤位置与程度。然而,碳纤维三维编织复合材料的各向异性将会对声发射源位置的准确度的影响很大。为了解决这个问题,在碳纤维的AE信号的时间 - 频率域特性编织复合材料的拉伸试验通过希尔伯特 - 黄转换(HHT)分析,建立损伤模式和AE信号之间的对应关系。然后,根据拉伸声发射信号的HHT的时间 - 频率特性中,使用两步法来定位损坏源。在第一步骤中,声速被时间频率分析结果与实验样品的结合各向异性进行补偿,并且使用四点圆弧方法来定位初始位置。在第二步骤中,在果蝇优化算法的改进,利用在鱼群算法混沌算法和拥塞调节机构的遍历。的平滑参数和功能结构的概率神经网络中进行了优化,迭代的数量减少,位置精度提高,得到的复合材料的破坏模式。然后,获得的损伤位置,以实现定位损坏源的目的。

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