A new time-reversal imaging method for active Lamb wave damage monitoring of composite structures

Author(s):  
S Yan ◽  
N Zhao ◽  
Binbin He
2013 ◽  
Vol 330 ◽  
pp. 542-548
Author(s):  
Lei Qiu ◽  
Shen Fang Yuan ◽  
Tian Xiang Huang

Composite structures adopted in aerospace structures have attracted much interest to structural health monitoring (SHM) for localization of impact and damage positions due to their poor impact resistance properties. Propagation mechanism and frequency dispersion characteristics of Lamb wave signals on composite structures are more complicated than that on simple aluminum plates. Recently, much attention has been paid to the research of time reversal focusing method because this method shows a promising advantage to give a focusing image of the structural damage, improve the signal-to-noise ratio and compensate the dispersion of Lamb wave signals. In this paper, aiming at developing a practical method for on-line localization of impact and damage on aircraft composite structures which can take advantage of time reversal focusing and does not rely on the transfer function, a new phase synthesis based time reversal focusing method is proposed. Impact and damage images are given out directly through time reversal focusing based on phase synthesis process of the signals. A SHM demonstration system is built on a composite panel of an aircraft wing box with many bolt holes and stiffeners using the phase synthesis based time reversal focusing method. The demonstration results show that this method can estimate the positions of impact and damage efficiently with a low sensitivity of velocity errors.


2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Bin Liu ◽  
Tingzhang Liu ◽  
Yue Lin ◽  
Jianfei Zhao

To improve the safety and economy of aircraft pallet use, an aircraft pallet damage monitoring method based on damage subarea identification and probability-based diagnostic imaging is proposed. In the proposed method, first, the large aircraft pallet monitoring area is divided into rectangular subareas, and a piezoelectric transducer sensor is pasted on each vertex of the rectangular subarea that is used to excitation and sensing the Lamb wave. Second, the damage subarea is identified according to the diagonal damage indexes. Third, the damage position in the damage subarea is calculated using the probability-based diagnostic imaging method and coordinate probability weighted algorithm. Finally, the aircraft pallet damage can be localized based on the damage subarea position. Frequency selection and damage simulation study results show that the Lamb wave is sensitive to aircraft pallet damage whose centre frequency ranges from 50 kHz to 150 kHz, and the damage index of a steel ball is less than that of all real aircraft pallet damage from 95 kHz to 125 kHz. The verification results show that the proposed method can locate aircraft pallet damage with an error of less than 2 cm.


Sensors ◽  
2017 ◽  
Vol 17 (5) ◽  
pp. 955 ◽  
Author(s):  
Liang Zeng ◽  
Jing Lin ◽  
Liping Huang

2017 ◽  
Vol 12 (5) ◽  
pp. 532-539
Author(s):  
Ai Chun'an ◽  
Cai Xiaofeng ◽  
Li Jian ◽  
Tong Zhao

2012 ◽  
Vol 24 (2) ◽  
pp. 209-225 ◽  
Author(s):  
Zixue Qiu ◽  
Lei Qiu ◽  
Jiang Yuan ◽  
Guan Lu

Time reversal focusing method has been proved to be an effective method for active Lamb wave–based structural health monitoring. In this article, aiming at developing a practical method for online localization of damage on aircraft composite structures that can take advantage of time reversal focusing and do not rely on the transfer function, a phase synthesis–based time reversal focusing method was proposed. In this method, damage images are given out directly through time reversal focusing, and the other imaging processes such as the delay-and-sum imaging method adopted in many researches of time reversal focusing are not needed. Based on the damage imaging method, a structural health monitoring demonstration system was built on a composite panel of an aircraft wing box with many bolt holes and stiffeners. The demonstrated results show that this method can estimate the positions of damages efficiently with a low sensitivity of group velocity errors and a high antijamming capability.


2003 ◽  
Vol 785 ◽  
Author(s):  
Seth S. Kessler ◽  
S. Mark Spearing

ABSTRACTEmbedded structural health monitoring systems are envisioned to be an important component of future transportation systems. One of the key challenges in designing an SHM system is the choice of sensors, and a sensor layout, which can detect unambiguously relevant structural damage. This paper focuses on the relationship between sensors, the materials of which they are made, and their ability to detect structural damage. Sensor selection maps have been produced which plot the capabilities of the full range of available sensor types vs. the key performance metrics (power consumption, resolution, range, sensor size, coverage). This exercise resulted in the identification of piezoceramic Lamb wave transducers as the sensor of choice. Experimental results are presented for the detailed selection of piezoceramic materials to be used as Lamb wave transducers.


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