超声Lamb波监测铝合金结构疲劳裂纹扩展实验研究

王壮杰; 严刚; 郭树祥; 汤剑飞

doi:10.13433/j.cnki.1003-8728.20220084

超声Lamb波监测铝合金结构疲劳裂纹扩展实验研究

doi: 10.13433/j.cnki.1003-8728.20220084

南京航空航天大学航空学院机械结构力学及控制国家重点实验室，南京　210016

基金项目: 国家自然科学基金项目（11602104）与南京航空航天大学基本科研业务费项目（NS2021002）

详细信息

作者简介:
王壮杰（1994−），硕士研究生，研究方向为结构疲劳断裂，zhuangjie123@nuaa.edu.cn

通讯作者:
郭树祥，副教授，硕士生导师，nuaagsx@nuaa.edu.cn

中图分类号: V214.4
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- PDF下载量: 14
- 被引次数: 0
出版历程
- 收稿日期: 2021-09-06
- 刊出日期: 2023-08-31

Experimental Study on Monitoring of Fatigue Crack Growth for Aluminum Alloy Structure with Ultrasonic Lamb Waves

State Key Laboratory of Mechanics and Control of Mechanical Structures, College of Aerospace Engineering, NanjingUniversity of Aeronautics & Astronautics, Nanjing 210016, China

摘要

摘要: 对应用超声Lamb波在线监测金属结构裂纹在疲劳载荷作用下的扩展进行了实验研究。制备了含中心裂纹的铝合金平板结构试件，并在试件表面布设了压电晶片传感网络。疲劳实验中，在观测裂纹扩展的同时，采用压电晶片分别进行Lamb波信号的激励和接收，监测驱动器与传感器间的疲劳裂纹扩展行为。通过时域信号处理提取了Lamb波信号峰值点的幅值（AMP）与传播时间（ToF）特征，由柯西隶属度函数定义了改进的信号健康度指标及相应的损伤指标，并评估了健康度指标和损伤指标随裂纹扩展的变化趋势。最后，结合损伤概率成像方法，融合Lamb波激励-接收路径的所有损伤指标，近似表征了裂纹长度的变化，验证了该方法的可行性和有效性。
- 裂纹扩展监测 /
- 超声Lamb波 /
- 健康度指标 /
- 损伤指标 /
- 损伤存在概率成像
Abstract: This paper presents an experimental study on on-line monitoring of crack growth in metal structures under fatigue loading by using ultrasonic Lamb waves. An aluminum alloy plate structure with a central crack is manufactured and a network of piezoelectric wafers are mounted on the surface of the plate. During the process of fatigue test, piezoelectric wafers are used to excite and receive Lamb wave signals to monitor the fatigue crack growth behavior between the actuators and the sensors, mean-while, the crack length is observed in real-time. With time domain signal processing, the features of amplitude (AMP) and time of flight (ToF) features at the peak points of Lamb wave signals are extracted. An improved degree of health index and correspond-ing damage index are defined through Cauchy membership function, and their variations with the crack growth are evaluated. Finally, the DIs in all excitation-receive paths are fused by the damage presence probability imaging method to approximately characterize the variations of crack lengths, proving that the algorithm proposed in this paper is feasible and effective.
- crack growth monitoring /
- ultrasonic Lamb waves /
- degree of health index /
- damage index /
- damage presence probability imaging

HTML全文

图 1 试件尺寸与传感器分布

Figure 1. Specimen dimensions and sensor distribution

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图 2 疲劳试验现场

Figure 2. Fatigue test site

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图 3 疲劳裂纹扩展曲线

Figure 3. Fatigue crack growth curve

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图 4 中心频率为250 kHz的窄带正弦波激励信号

Figure 4. The narrowband sinusoidal excitation signal with a center frequency of 250 kHz

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图 5 Lamb波传感路径分布

Figure 5. Lamb wave signals under different fatigue cycles

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图 6 不同疲劳循环下的Lamb波信号

Figure 6. Distribution of Lamb wave sensing paths

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图 7 接收波信号的最大峰值点ToF隶属度变化情况

Figure 7. Variation in the degree of ToF membership for the maximum peak of received wave signals

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图 8 接收波信号的最大峰值点AMP隶属度变化情况

Figure 8. Variation in the degrees of AMP membership degree for the maximum peak of received wave signals

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图 9 损伤指标DI随疲劳循环次数变化情况

Figure 9. The variation of DI with fatigue cycles

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图 10 损伤指标DI随裂纹长度变化情况

Figure 10. The variation of DI with crack length

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图 11 损伤成像结果

Figure 11. Damage imaging results

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图 12 0 ~ 38000次疲劳循环下h=75 mm高度云图指标

Figure 12. Cloud map index of h=75 mm for 0 to 38 000 fatigue cycles

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图 13 损伤成像方法识别的裂纹扩展情况

Figure 13. Crack propagation identified by the damage imaging method

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