Autonomous structural composites for self-powered strain sensing-enabled damage detection

2019 ◽  
Author(s):  
Alfred Mongare ◽  
Jordan Ulibarri-Sanchez ◽  
Aaron Misla ◽  
Young Ho Park ◽  
Andrei Zagrai ◽  
...  
Keyword(s):  
Damage Detection ◽  
Strain Sensing ◽  
Structural Composites ◽  
Self Powered

An intelligent structural damage detection approach based on self-powered wireless sensor data

2016 ◽  
Vol 62 ◽  
pp. 24-44 ◽  
Author(s):  
Amir H. Alavi ◽  
Hassene Hasni ◽  
Nizar Lajnef ◽  
Karim Chatti ◽  
Fred Faridazar
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Structural Damage Detection ◽  
Detection Approach ◽  
Self Powered

Capacitance-based damage detection sensing for aerospace structural composites

2014 ◽  
Author(s):  
P. Bahrami ◽  
N. Yamamoto ◽  
Y. Chen ◽  
H. Manohara
Keyword(s):  
Damage Detection ◽  
Structural Composites

scholarly journals Fabrication and performance of a self-powered damage-detection aggregate for asphalt pavement

2019 ◽  
Vol 179 ◽  
pp. 107890 ◽  
Author(s):  
Xiaoping Ji ◽  
Yueqin Hou ◽  
Yun Chen ◽  
Yikang Zhen
Keyword(s):  
Damage Detection ◽  
Asphalt Pavement ◽  
Self Powered ◽  
And Performance

A Self-Powered System for Large-Scale Strain Sensing by Combining CMOS ICs With Large-Area Electronics

2014 ◽  
Vol 49 (4) ◽  
pp. 838-850 ◽  
Author(s):  
Yingzhe Hu ◽  
Liechao Huang ◽  
Warren S. A. Rieutort-Louis ◽  
Josue Sanz-Robinson ◽  
James C. Sturm ◽  
...  
Keyword(s):  
Large Scale ◽  
Strain Sensing ◽  
Large Area ◽  
Self Powered ◽  
Large Area Electronics

scholarly journals Self-Powered energy harvester strain sensing device for structural health monitoring

2016 ◽  
Vol 773 ◽  
pp. 012070
Author(s):  
A. Álvarez ◽  
M. Bafleur ◽  
J-M. Dilhac ◽  
J. Colomer ◽  
D. Dragomirescu ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Energy Harvester ◽  
Strain Sensing ◽  
Structural Health ◽  
Self Powered

scholarly journals Fusion-based damage diagnostics for stiffened composite panels

2021 ◽  
pp. 147592172110071
Author(s):  
Agnes Broer ◽  
Georgios Galanopoulos ◽  
Rinze Benedictus ◽  
Theodoros Loutas ◽  
Dimitrios Zarouchas
Keyword(s):  
Acoustic Emission ◽  
Damage Detection ◽  
Optical Fibers ◽  
Damage Assessment ◽  
Composite Structures ◽  
Synergistic Effects ◽  
Severity Assessment ◽  
Strain Sensing ◽  
Damage Growth ◽  
Damage Diagnostics

Conducting damage diagnostics on stiffened panels is commonly performed using a single SHM technique. However, each SHM technique has both its strengths and limitations. Rather than straining the expansion of single SHM techniques going beyond their intrinsic capacities, these strengths and limitations should instead be considered in their application. In this work, we propose a novel fusion-based methodology between data from two SHM techniques in order to surpass the capabilities of a single SHM technique. The aim is to show that by considering data fusion, a synergy can be obtained, resulting in a comprehensive damage assessment, not possible using a single SHM technique. For this purpose, three single-stiffener carbon–epoxy panels were subjected to fatigue compression after impact tests. Two SHM techniques monitored damage growth under the applied fatigue loads: acoustic emission and distributed fiber optic strain sensing. Four acoustic emission sensors were placed on each panel, thereby allowing for damage detection, localization, type identification (delamination), and severity assessment. The optical fibers were adhered to the stiffener feet’ surface, and its strain measurements were used for damage detection, disbond localization, damage type identification (stiffness degradation and disbond growth), and severity assessment. Different fusion techniques are presented in order to integrate the acoustic emission and strain data. For damage detection and severity assessment, a hybrid health indicator is obtained by feature-level fusion while a complementary and cooperative fusion of the diagnostic results is developed for damage localization and type identification. We show that damage growth can be monitored up until final failure, thereby performing a simultaneous damage assessment on all four SHM levels. In this manner, we demonstrate that by proposing a fusion-based approach toward SHM of composite structures, the intrinsic capacity of each SHM technique can be utilized, leading to synergistic effects for damage diagnostics.

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