Lei Qiu
Hong Kong Polytechnic University
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Publication
Featured researches published by Lei Qiu.
Ultrasonics | 2016
Lei Qiu; Bin Liu; Shenfang Yuan; Zhongqing Su
The spatial-wavenumber filtering technique is an effective approach to distinguish the propagating direction and wave mode of Lamb wave in spatial-wavenumber domain. Therefore, it has been gradually studied for damage evaluation in recent years. But for on-line impact monitoring in practical application, the main problem is how to realize the spatial-wavenumber filtering of impact signal when the wavenumber of high spatial resolution cannot be measured or the accurate wavenumber curve cannot be modeled. In this paper, a new model-independent spatial-wavenumber filter based impact imaging method is proposed. In this method, a 2D cross-shaped array constructed by two linear piezoelectric (PZT) sensor arrays is used to acquire impact signal on-line. The continuous complex Shannon wavelet transform is adopted to extract the frequency narrowband signals from the frequency wideband impact response signals of the PZT sensors. A model-independent spatial-wavenumber filter is designed based on the spatial-wavenumber filtering technique. Based on the designed filter, a wavenumber searching and best match mechanism is proposed to implement the spatial-wavenumber filtering of the frequency narrowband signals without modeling, which can be used to obtain a wavenumber-time image of the impact relative to a linear PZT sensor array. By using the two wavenumber-time images of the 2D cross-shaped array, the impact direction can be estimated without blind angle. The impact distance relative to the 2D cross-shaped array can be calculated by using the difference of time-of-flight between the frequency narrowband signals of two different central frequencies and the corresponding group velocities. The validations performed on a carbon fiber composite laminate plate and an aircraft composite oil tank show a good impact localization accuracy of the model-independent spatial-wavenumber filter based impact imaging method.
Structural Health Monitoring-an International Journal | 2015
Bin Liu; Shenfang Yuan; Lei Qiu
This paper presents a new model-independent spatial-wavenumber filtering and imaging method based on a 2-D cruciform array for damage monitoring. In this method, a wavenumber searching and best match mechanism, which is not relied on any Lamb wave propagating models, is proposed to implement spatial-wavenumber filtering based on a linear piezoelectric transducers (PZT) array to obtain a wavenumber-time image of damage-scattering signal relative to the array. And the damage localization of 360 degree with no blind angle can be achieved based on the two wavenumber-time images of the 2-D cruciform array. The validation experiment performed on a carbon fiber composite laminate plate shows that the damage localization errors of this method are less than 1 cm. doi: 10.12783/SHM2015/73
Structural Health Monitoring-an International Journal | 2015
Yuanqiang Ren; Shenfang Yuan; Lei Qiu; Hanfei Mei
Due to the widely use of composite materials in aerospace vehicles, the poor impact resistance of such materials may cause serious degradation of aircraft structures. Aiming at monitoring impact online for large scale aircraft composite structures, a wireless impact monitoring network based on digital wireless impact monitors has been developed. However, the digital localization method adopted in the network only works in single monitor, resulting in the localization confliction among multiple monitors and the false impact localization result of mid-region. In order to meet the needs of wireless impact networking monitoring, this research puts forward an energy-weighted factor based localization method with the ability of solving localization confliction and locating mid-regions. To verify the performance of the method, a wireless impact monitoring network based on a number of monitors are built and conducted on a composite unmanned aerial vehicle structure. Experimental results show that the method performs well. doi: 10.12783/SHM2015/4
Mechanical Systems and Signal Processing | 2017
Yuanqiang Ren; Lei Qiu; Shenfang Yuan; Zhongqing Su
Sensors and Actuators A-physical | 2016
Lei Qiu; Bin Liu; Shenfang Yuan; Zhongqing Su; Yuanqiang Ren
Journal of Vibroengineering | 2016
Shang Gao; Shenfang Yuan; Lei Qiu; Biyun Ling; Yuanqiang Ren
Journal of Vibroengineering | 2014
Zhiling Wang; Shenfang Yuan; Lei Qiu; Jian Cai; Qiao Bao
Structural Health Monitoring-an International Journal | 2017
Andria Taltavull; Lei Qiu; Ramanan Sridaran Venkat; Christian Dürager; Christian Boller; Yuanqiang Ren; Shenfang Yuan
Structural Health Monitoring-an International Journal | 2017
Qiao Bao; Shenfang Yuan; Lei Qiu
Journal of Vibroengineering | 2016
Lei Qiu; Shenfang Yuan; Zhongqing Su; Bin Liu