TY - JOUR
T1 - High-sensitivity rGO/epoxy strain sensor integrated into CFRP composite structures
AU - Wang, Shengjie
AU - Zhao, Wenhao
AU - Lang, Binghao
AU - Wang, Yana
AU - Dong, Yifeng
AU - Wuyun, Qiqige
AU - Lei, Hongshuai
AU - Yao, Xuefeng
AU - Yang, Heng
N1 - Publisher Copyright:
© 2025 Elsevier Ltd
PY - 2025/7/1
Y1 - 2025/7/1
N2 - Carbon fiber-reinforced polymer (CFRP) composites are widely used in aerospace and automotive industries for their superior mechanical properties and lightweight characteristics. However, their complex behavior challenges structural safety, requiring effective online monitoring. Existing sensors lack sufficient sensitivity to detect minor damage, while embedded sensors may compromise the mechanical properties of CFRP, impairing long-term strain monitoring. This study proposes a reduced graphene oxide (rGO)/epoxy strain sensor based on a pre-strain strategy, which achieves anisotropic regulation through the directional alignment of microstructures and effectively preserves both the pre-strained configuration and aligned microstructure using transfer printing technology. The sensor demonstrates a gauge factor of 80.07 under 25 % pre-strain, representing a 9.43-fold enhancement compared to sensors without pre-strain. The underlying mechanism of sensitivity enhancement was revealed using a tunneling theory model. During cyclic tensile testing, the sensor demonstrated excellent stability and repeatability, underscoring its potential for real-time structural health monitoring of CFRP composites. The simulation results demonstrate that when the thickness of the embedded sensor is 20 μm, the maximum relative strain error induced is only 1.220 %, indicating that reducing the sensor thickness is a critical approach to minimizing interference with the strain field of the composite material and preserving its mechanical properties.
AB - Carbon fiber-reinforced polymer (CFRP) composites are widely used in aerospace and automotive industries for their superior mechanical properties and lightweight characteristics. However, their complex behavior challenges structural safety, requiring effective online monitoring. Existing sensors lack sufficient sensitivity to detect minor damage, while embedded sensors may compromise the mechanical properties of CFRP, impairing long-term strain monitoring. This study proposes a reduced graphene oxide (rGO)/epoxy strain sensor based on a pre-strain strategy, which achieves anisotropic regulation through the directional alignment of microstructures and effectively preserves both the pre-strained configuration and aligned microstructure using transfer printing technology. The sensor demonstrates a gauge factor of 80.07 under 25 % pre-strain, representing a 9.43-fold enhancement compared to sensors without pre-strain. The underlying mechanism of sensitivity enhancement was revealed using a tunneling theory model. During cyclic tensile testing, the sensor demonstrated excellent stability and repeatability, underscoring its potential for real-time structural health monitoring of CFRP composites. The simulation results demonstrate that when the thickness of the embedded sensor is 20 μm, the maximum relative strain error induced is only 1.220 %, indicating that reducing the sensor thickness is a critical approach to minimizing interference with the strain field of the composite material and preserving its mechanical properties.
KW - Carbon fiber-reinforced polymer composites
KW - Integrated structure
KW - Online monitoring
KW - Sensing
KW - Strain sensor
UR - http://www.scopus.com/pages/publications/105001506300
U2 - 10.1016/j.compstruct.2025.119159
DO - 10.1016/j.compstruct.2025.119159
M3 - Article
AN - SCOPUS:105001506300
SN - 0263-8223
VL - 363
JO - Composite Structures
JF - Composite Structures
M1 - 119159
ER -