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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定位

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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。定位精度反映了所识别的位置与实际损坏位置之间的一致程度。但是,碳纤维三维编织复合材料的各向异性将对声发射源定位的精度产生很大的影响。为了解决这个问题,通过希尔伯特-黄变换(HHT)分析了碳纤维编织复合材料拉伸试验中声发射信号的时频特性,建立了损伤模式与声发射信号的对应关系。然后,根据拉伸声发射信号HHT的时频特性,采用两步法定位损伤源。第一步,通过将时频分析结果与实验样本的各向异性相结合来补偿声速,并采用四点圆弧法定位初始位置。第二步,利用鱼群算法中的混沌算法的遍历性和拥塞调整机制,对果蝇优化算法进行了改进。优化了概率神经网络中的平滑参数和函数构造,减少了迭代次数,提高了定位精度,并获得了复合材料的损伤模式。然后,获得损坏的位置,以达到定位损坏源的目的。

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