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

Antoine Lemartinel¹  Olivier Fouché¹  Julio-CésarDe Luca¹  Mickaël Castro²  Jean-François Feller² 

[1] Institut de Recherche Technologique Jules Verne, 44340 Bouguenais, France;Smart Plastics Group, Université de Bretagne Sud, UMR CNRS 6027, IRDL, 56100 Lorient, France;

关键词: structural health monitoring (SHM);    carbon nanotubes (CNT);    quantum piezo-resistive sensor (QRS);    in situ measurements;    smart materials;    embedded sensors;   

DOI  :  10.3390/jcs5020060

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown