Strain Mapping and Damage Tracking in Carbon Fiber Reinforced Epoxy Composites during Dynamic Bending Until Fracture with Quantum Resistive Sensors in Array
The sustained development of wind energies requires a dramatic rising of turbine blade size especially for their off-shore implantation, which requires as well composite materials with higher performances. In this context, the monitoring of the health of these structures appears essential to decreas...
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doaj-c9e976c0117a47219ad010ae1d96dfd42021-02-21T00:06:15ZengMDPI AGJournal of Composites Science2504-477X2021-02-015606010.3390/jcs5020060Strain Mapping and Damage Tracking in Carbon Fiber Reinforced Epoxy Composites during Dynamic Bending Until Fracture with Quantum Resistive Sensors in ArrayAntoine Lemartinel0Mickaël Castro1Olivier Fouché2Julio-César De Luca3Jean-François Feller4Institut de Recherche Technologique Jules Verne, 44340 Bouguenais, FranceSmart Plastics Group, Université de Bretagne Sud, UMR CNRS 6027, IRDL, 56100 Lorient, FranceInstitut de Recherche Technologique Jules Verne, 44340 Bouguenais, FranceInstitut de Recherche Technologique Jules Verne, 44340 Bouguenais, FranceSmart Plastics Group, Université de Bretagne Sud, UMR CNRS 6027, IRDL, 56100 Lorient, FranceThe sustained development of wind energies requires a dramatic rising of turbine blade size especially for their off-shore implantation, which requires as well composite materials with higher performances. In this context, the monitoring of the health of these structures appears essential to decrease maintenance costs, and produce a cheaper kwh. Thus, the input of quantum resistive sensors (QRS) arrays, to monitor the strain gradient in area of interest and anticipate damage in the core of composite structures, without compromising their mechanical properties, sounds promising. QRS are nanostructured strain and damage sensors, transducing strain at the nanoscale into a macroscopic resistive signal for a consumption of only some µW. QRS can be positioned on the surface or in the core of the composite material between plies, and this homogeneously as they are made of the same resin as the composite. The embedded QRS had a gauge factor of 3, which was found more than enough to follow the strain from 0.01% to 1.4% at the final failure. The spatial deployment of four QRS in array made possible for the first time the experimental visualization of a strain field comparable to the numerical simulation. QRS proved also to be able to memorize damage accumulation within the sample and thus could be used to attest the mechanical history of composites.https://www.mdpi.com/2504-477X/5/2/60structural health monitoring (SHM)carbon nanotubes (CNT)quantum piezo-resistive sensor (QRS)in situ measurementssmart materialsembedded sensors |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Antoine Lemartinel Mickaël Castro Olivier Fouché Julio-César De Luca Jean-François Feller |
spellingShingle |
Antoine Lemartinel Mickaël Castro Olivier Fouché Julio-César De Luca Jean-François Feller Strain Mapping and Damage Tracking in Carbon Fiber Reinforced Epoxy Composites during Dynamic Bending Until Fracture with Quantum Resistive Sensors in Array Journal of Composites Science structural health monitoring (SHM) carbon nanotubes (CNT) quantum piezo-resistive sensor (QRS) in situ measurements smart materials embedded sensors |
author_facet |
Antoine Lemartinel Mickaël Castro Olivier Fouché Julio-César De Luca Jean-François Feller |
author_sort |
Antoine Lemartinel |
title |
Strain Mapping and Damage Tracking in Carbon Fiber Reinforced Epoxy Composites during Dynamic Bending Until Fracture with Quantum Resistive Sensors in Array |
title_short |
Strain Mapping and Damage Tracking in Carbon Fiber Reinforced Epoxy Composites during Dynamic Bending Until Fracture with Quantum Resistive Sensors in Array |
title_full |
Strain Mapping and Damage Tracking in Carbon Fiber Reinforced Epoxy Composites during Dynamic Bending Until Fracture with Quantum Resistive Sensors in Array |
title_fullStr |
Strain Mapping and Damage Tracking in Carbon Fiber Reinforced Epoxy Composites during Dynamic Bending Until Fracture with Quantum Resistive Sensors in Array |
title_full_unstemmed |
Strain Mapping and Damage Tracking in Carbon Fiber Reinforced Epoxy Composites during Dynamic Bending Until Fracture with Quantum Resistive Sensors in Array |
title_sort |
strain mapping and damage tracking in carbon fiber reinforced epoxy composites during dynamic bending until fracture with quantum resistive sensors in array |
publisher |
MDPI AG |
series |
Journal of Composites Science |
issn |
2504-477X |
publishDate |
2021-02-01 |
description |
The sustained development of wind energies requires a dramatic rising of turbine blade size especially for their off-shore implantation, which requires as well composite materials with higher performances. In this context, the monitoring of the health of these structures appears essential to decrease maintenance costs, and produce a cheaper kwh. Thus, the input of quantum resistive sensors (QRS) arrays, to monitor the strain gradient in area of interest and anticipate damage in the core of composite structures, without compromising their mechanical properties, sounds promising. QRS are nanostructured strain and damage sensors, transducing strain at the nanoscale into a macroscopic resistive signal for a consumption of only some µW. QRS can be positioned on the surface or in the core of the composite material between plies, and this homogeneously as they are made of the same resin as the composite. The embedded QRS had a gauge factor of 3, which was found more than enough to follow the strain from 0.01% to 1.4% at the final failure. The spatial deployment of four QRS in array made possible for the first time the experimental visualization of a strain field comparable to the numerical simulation. QRS proved also to be able to memorize damage accumulation within the sample and thus could be used to attest the mechanical history of composites. |
topic |
structural health monitoring (SHM) carbon nanotubes (CNT) quantum piezo-resistive sensor (QRS) in situ measurements smart materials embedded sensors |
url |
https://www.mdpi.com/2504-477X/5/2/60 |
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