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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Main Authors: Antoine Lemartinel, Mickaël Castro, Olivier Fouché, Julio-César De Luca, Jean-François Feller
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Journal of Composites Science
Subjects:
Online Access:https://www.mdpi.com/2504-477X/5/2/60
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spelling 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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