Smart Carbon Fiber-Reinforced Polymer Composites for Damage Sensing and On-Line Structural Health Monitoring Applications

被引:1
|
作者
Lopes, Claudia [1 ,2 ]
Araujo, Andreia [3 ]
Silva, Fernando [3 ]
Pappas, Panagiotis-Nektarios [4 ]
Termine, Stefania [5 ]
Trompeta, Aikaterini-Flora A. [5 ]
Charitidis, Costas A. [5 ]
Martins, Carla [6 ]
Mould, Sacha T. [6 ]
Santos, Raquel M. [3 ,7 ]
机构
[1] Univ Minho, Phys Ctr Minho & Porto Univ CF UM UP, P-4710057 Braga, Portugal
[2] Univ Minho, LaPMET Lab Phys Mat & Emergent Technol, P-4710057 Braga, Portugal
[3] INEGI Inst Sci & Innovat Mech & Ind Engn, P-4200465 Porto, Portugal
[4] FORTH ICE HT Inst Chem Engn Sci, Fdn Res & Technol Hellas, Patras 26504, Greece
[5] Natl Tech Univ Athens, R NANO Res Lab Adv Composite Nanomat & Nanotechnol, Sch Chem Engn, Mat Scienceand Engn Dept, Athens 15773, Greece
[6] Univ Minho, IPC Inst Polymers & Composites, Campus Azurem, P-4800058 Guimaraes, Portugal
[7] LAETA Associated Lab Energy Transports & Aerosp, P-4200465 Porto, Portugal
关键词
carbon fiber-reinforced polymer composites; nanomaterials; self-sensing; damage detection; structural health monitoring; nanocomposites; geometric features; NANOTUBE NETWORKS; STRAIN; MECHANISMS; MORPHOLOGY;
D O I
10.3390/polym16192698
中图分类号
O63 [高分子化学(高聚物)];
学科分类号
070305 ; 080501 ; 081704 ;
摘要
High electrical conductivity, along with high piezoresistive sensitivity and stretchability, are crucial for designing and developing nanocomposite strain sensors for damage sensing and on-line structural health monitoring of smart carbon fiber-reinforced polymer (CFRP) composites. In this study, the influence of the geometric features and loadings of carbon-based nanomaterials, including reduced graphene oxide (rGO) or carbon nanofibers (CNFs), on the tunable strain-sensing capabilities of epoxy-based nanocomposites was investigated. This work revealed distinct strain-sensing behavior and sensitivities (gauge factor, GF) depending on both factors. The highest GF values were attained with 0.13 wt.% of rGO at various strains. The stability and reproducibility of the most promising self-sensing nanocomposites were also evaluated through ten stretching/relaxing cycles, and a distinct behavior was observed. While the deformation of the conductive network formed by rGO proved to be predominantly elastic and reversible, nanocomposite sensors containing 0.714 wt.% of CNFs showed that new conductive pathways were established between neighboring CNFs. Based on the best results, formulations were selected for the manufacturing of pre-impregnated materials and related smart CFRP composites. Digital image correlation was synchronized with electrical resistance variation to study the strain-sensing capabilities of modified CFRP composites (at 90 degrees orientation). Promising results were achieved through the incorporation of CNFs since they are able to form new conductive pathways and penetrate between micrometer-sized fibers.
引用
收藏
页数:17
相关论文
共 50 条
  • [21] Smart Structural Health Monitoring Using Carbon Nanotube Polymer Composites
    Park, Young-Bin
    Pham, Giang T.
    Wang, Ben
    Kim, Sang Woo
    COMPOSITES RESEARCH, 2009, 22 (06): : 1 - 6
  • [22] Multifunctional Fiber-Reinforced Polymer Composites for Damage Detection and Memory
    Demo, Luke B.
    Tronci, Eleonora M.
    Feng, Maria Q.
    JOURNAL OF COMPOSITES SCIENCE, 2023, 7 (09):
  • [23] Smart fiber-reinforced polymer rods featuring improved ductility and health monitoring capabilities
    Belarbi, A
    Watkins, SE
    Chandrashekhara, K
    Corra, J
    Konz, B
    SMART MATERIALS & STRUCTURES, 2001, 10 (03): : 427 - 431
  • [24] Compressive damage mode manipulation of fiber-reinforced polymer composites
    Yuan, Yanan
    Niu, Kangmin
    Zhang, Zuoqi
    ENGINEERING FRACTURE MECHANICS, 2020, 223
  • [25] Detection of spatially distributed damage in fiber-reinforced polymer composites
    Loyola, Bryan R.
    Briggs, Timothy M.
    Arronche, Luciana
    Loh, Kenneth J.
    La Saponara, Valeria
    O'Bryan, Greg
    Skinner, Jack L.
    STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2013, 12 (03): : 225 - 239
  • [26] Investigation on carbon nanoparticle (CNP)-polymer sensors for fatigue monitoring of fiber-reinforced composites
    Wang, Junpu
    Wang, Zhu
    Zhang, Yu
    Sheikh, Muhammad Zakir
    Wang, Wenzhi
    MECHANICS OF ADVANCED MATERIALS AND STRUCTURES, 2023, 30 (23) : 4902 - 4912
  • [27] Fiber reinforced composites for structural health monitoring
    Kumagai, H.
    Shiraishi, M.
    Inada, H.
    Inada, Y.
    Okuhara, Y.
    Matsubara, H.
    SMART STRUCTURES AND MATERIALS 2006: SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL , AND AEROSPACE SYSTEMS, PTS 1 AND 2, 2006, 6174
  • [28] Sensing uniaxial tensile damage in fiber-reinforced polymer composites using electrical resistance tomography
    Lestari, Wahyu
    Pinto, Brian
    La Saponara, Valeria
    Yasui, Jennifer
    Loh, Kenneth J.
    SMART MATERIALS AND STRUCTURES, 2016, 25 (08)
  • [29] CARBON FIBER-REINFORCED COMPOSITES - EFFECT OF FIBER SURFACE ON POLYMER PROPERTIES
    KO, YS
    FORSMAN, WC
    DZIEMIANOWICZ, TS
    POLYMER ENGINEERING AND SCIENCE, 1982, 22 (13): : 805 - 814
  • [30] Damage monitoring methods for fiber-reinforced polymer joints: A review
    Li, Wencai
    Palardy, Genevieve
    COMPOSITE STRUCTURES, 2022, 299