Study on Ultrasonic Guided Wave Propagation Characteristics and Damage Imaging for Composite Structures Under Variable Temperature Field
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摘要: 基于Lamb波的损伤监测方法已在复合材料结构健康监测中得到了广泛的应用。然而,复合材料结构的服役环境复杂多变,超声导波信号极易被外界因素干扰。本文研究了玻璃纤维层合板在变温场下的超声导波特性及损伤成像修正方法。首先,利用红外热成像仪研究持续加热下超声导波信号幅值和相位的变化规律,并构建因变温引起的幅相误差矩阵。其次,将误差矩阵代入多重信号分类(2D-MUSIC)算法中修正导向矢量,并建立代价函数迭代出准确损伤位置。玻璃纤维复合材料层合板的模拟损伤实验表明该方法有效提高了2D-MUSIC算法在变温场下的损伤定位分辨率和精度。
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关键词:
- 变温场 /
- 超声导波 /
- 2D-MUSIC算法 /
- 损伤成像
Abstract: The Lamb-wave-based damage location method has been widely used for health monitoring of composite structures. However, it is easily interfered by external factors because its service environment is complex and changeable. To determine the influence of the temperature field on the propagation of Lamb waves in composite structures, in this study we first investigated the propagation characteristics of ultrasonic guided waves on glass fiber laminates under a temperature field using an infrared thermal imager. Subsequently, a corrected model was established using the extracted amplitude attenuation and phase delay errors. Consequently, a modified multiple signal classification(2D-MUSIC) algorithm-based damage imaging method is proposed for composite structures. The experimental results on glass fiber composite laminates show that the proposed method can effectively improve the resolution and accuracy of the original algorithm under a variable temperature field. -
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表 1 不同变温度环境下损伤定位结果及误差统计
Table 1 Damage localization results and errors under variable temperature
No. Temperature/℃ ${\hat r_1}$/cm ${\hat \theta _1}$/° E1r E1θ 1 21.87 25.7 93 0.7 3 2 29.54 24.3 93 0.7 1 3 39.80 24.4 93 0.6 3 4 49.86 25.9 93 0.9 3 5 60.65 24.6 91 0.4 1 6 70.77 23.8 93 1.2 3 7 78.67 25.7 93 0.7 3 -
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