A two-step impact localization method for composite structures with a parameterized laminate model

2018 ◽  
Vol 192 ◽  
pp. 500-506 ◽  
Author(s):  
Kaige Zhu ◽  
Xinlin P. Qing ◽  
Bin Liu
Keyword(s):  
Composite Structures ◽  
Localization Method ◽  
Impact Localization

scholarly journals Impact localization in composite structures of arbitrary cross section

2012 ◽  
Vol 11 (6) ◽  
pp. 643-655 ◽  
Author(s):  
Francesco Ciampa ◽  
Michele Meo ◽  
Ettore Barbieri
Keyword(s):  
Cross Section ◽  
Composite Structures ◽  
Arbitrary Cross Section ◽  
Impact Localization

Research on the Performance and Improvement of Uniform Linear Sensors Array-Based Impact Localization Method Under Vibration Conditions

2020 ◽  
Vol 20 (24) ◽  
pp. 14932-14939
Author(s):  
Zhenghao Zhang ◽  
Yongteng Zhong ◽  
Jiawei Xiang ◽  
Yongying Jiang ◽  
Zhiling Wang
Keyword(s):  
Localization Method ◽  
Sensors Array ◽  
Impact Localization

scholarly journals Low Velocity Impact Localization of Variable Thickness Composite Laminates

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6103
Author(s):  
Guan Lu ◽  
Yuchen Zhou ◽  
Yiming Xu
Keyword(s):  
Variable Thickness ◽  
Composite Laminates ◽  
Composite Structures ◽  
Low Velocity Impact ◽  
Low Velocity ◽  
Localization Performance ◽  
Fbg Sensors ◽  
The Impact ◽  
Impact Localization ◽  
Thickness Correction

Variable thickness composite laminates (VTCL) are susceptible to impact during use and may result in irreparable internal damage. In order to locate the internal impact damage of complex composite structures and monitor the impact signals of VTCL at the same time, a low velocity impact (LVI) monitoring system based on an optical fiber sensing network was constructed. Fiber Bragg grating (FBG) sensors are suitable for monitoring strain characteristics. By arranging FBG sensors on the laminate, we studied the spectrum analysis and localization of the impact signal collected by a FBG demodulator at constant temperature. The prior knowledge of variable thickness composite structures is difficult to obtain, and the multi-sensor dynamic monitoring is complex and difficult to realize. In order to locate the LVI of composite structures without prior knowledge, based on empirical mode decomposition (EMD), we proposed an impact localization method with zero-mean normalized cross-correlation (ZNCC) and thickness correction. The experimental results of LVI localization verification show that the ZNCC algorithm can effectively remove the temperature cross-sensitivity and impact energy influencing factors, and the thickness correction can reduce the interference of variable thickness characteristics on localization performance . The maximum localization error is 24.41 mm and the average error is 15.67 mm, which meets engineering application requirements. The method of variable-thickness normalization significantly improves impact localization performance for VTCL.

Impact localization by a multi-radio sink–based wireless sensor network for large-scale structures

2016 ◽  
Vol 20 (2) ◽  
pp. 157-169 ◽  
Author(s):  
Yuanqiang Ren ◽  
Shenfang Yuan ◽  
Lei Qiu ◽  
Hanfei Mei
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Composite Structures ◽  
Large Scale ◽  
Wireless Sensor ◽  
Monitoring Methods ◽  
Large Scale Structures ◽  
Impact Monitoring ◽  
Scale Structures ◽  
Impact Localization

With the rapid development of wireless sensor network technology, more and more researchers have been interested in taking advantages of wireless sensor network to reduce weight and cost and to solve the installing problem of the wired structural health monitoring systems. A number of wireless-based structural health monitoring methods have been developed over the years to ensure the safety of large-scale structures. However, little research has been reported on wireless impact monitoring of large-scale composite structures due to the limitations of ordinary monitoring methods and wireless sensor networks. In this article, a wireless multi-radio sink which can access multiple communication channels is developed and adopted to build an impact monitoring wireless sensor network. Besides, a corresponding network architecture with an energy-weighted factor–based localization method adopted is presented to enable impact localization within the whole monitoring scope of the network. To verify the performance of the impact monitoring wireless sensor network, the experiments are performed on complex aircraft composite structures and the experimental results prove the effectiveness of the proposed wireless sensor network.

A strain amplitude-based algorithm for impact localization on composite laminates

2011 ◽  
Vol 22 (17) ◽  
pp. 2061-2067 ◽  
Author(s):  
Cristobal Hiche ◽  
Clyde K. Coelho ◽  
Aditi Chattopadhyay
Keyword(s):  
Strain Amplitude ◽  
Composite Laminates ◽  
Composite Structures ◽  
Composite Plates ◽  
Low Velocity Impact ◽  
Low Velocity ◽  
Sensor Orientation ◽  
Fbg Sensors ◽  
The Impact ◽  
Impact Localization

Automated detection of damage due to low energy impacts in composite structures is very important for aerospace structural health monitoring applications. Low-velocity impact creates subsurface damage that can significantly reduce the stiffness of a component, yet show barely visible damage. This article proposes a novel methodology for impact localization based on the maximum strain amplitude measured by fiber Bragg grating (FBG) sensors during an impact event. The approach correlates the strain amplitude of each sensor pair to find the location of highest strain corresponding to the impact location. This approach requires minimal knowledge of the structure and fewer number of sensors as opposed to current localization methods. Both simulation and experimental data are used as proof of concept. Since FBG sensors measure strain in only one direction, the effect of sensor orientation on the performance of the algorithm is also studied. The algorithm is tested on graphite/epoxy composite plates and shows good localization results in all impact cases considered.

scholarly journals Multiple Signal Classification-Based Impact Localization in Composite Structures Using Optimized Ensemble Empirical Mode Decomposition

2018 ◽  
Vol 8 (9) ◽  
pp. 1447 ◽  
Author(s):  
Yongteng Zhong ◽  
Jiawei Xiang ◽  
Xiaoyu Chen ◽  
Yongying Jiang ◽  
Jihong Pang
Keyword(s):  
Composite Structures ◽  
Sensor Array ◽  
Ensemble Empirical Mode Decomposition ◽  
Signal Classification ◽  
Music Algorithm ◽  
Multiple Signal Classification ◽  
Multiple Signal ◽  
Mode Decomposition ◽  
The Impact ◽  
Impact Localization

Multiple signal classification (MUSIC) algorithm-based structural health monitoring technology is a promising method because of its directional scanning ability and easy arrangement of the sensor array. However, in previous MUSIC-based impact location methods, the narrowband signals at a particular central frequency had to be extracted from the wideband Lamb waves induced by each impact using a wavelet transform. Additionally, the specific center frequency had to be obtained after carefully analyzing the impact signal, which is time consuming. Aiming at solving this problem, this paper presents an improved approach that combines the optimized ensemble empirical mode decomposition (EEMD) and two-dimensional multiple signal classification (2D-MUSIC) algorithm for real-time impact localization on composite structures. Firstly, the impact signal at an unknown position is obtained using a unified linear sensor array. Secondly, the fast Hilbert Huang transform (HHT) with an optimized EEMD algorithm is introduced to extract intrinsic mode functions (IMFs) from impact signals. Then, all IMFs in the whole frequency domain are directly used as the input vector of the 2D-MUSIC model separately to locate the impact source. Experimental data collected from a cross-ply glass fiber reinforced composite plate are used to validate the proposed approach. The results show that the use of optimized EEMD and 2D-MUSIC is suitable for real-time impact localization of composite structures.

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