Intralaminar fatigue behaviour of carbon fibre reinforced plastics

Trappe, Volker; Harbich, Karl-Wolfram

doi:10.1016/j.ijfatigue.2006.02.037

Cited by 22 publications

(6 citation statements)

References 4 publications

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“…Presently, there are various non‐destructive evaluation (NDE) methods that could be used for the assessment of the damage state. Most conventional NDE techniques such as ultrasonic C‐scan, 5 x‐ray, 6 thermography, 7 and eddy current 8 are not on‐line based techniques and usually require the targeted component to be taken out of service for a prolonged length of time for post‐damage inspection and assessment. Other techniques, such as piezoelectric sensor, 9 optical fiber, 10 can be used for on‐line health monitoring of UHPC structures, but they all involve the attachment of external sensors or additional fiber input in UHPCs 11 …”

Section: Introductionmentioning

confidence: 99%

Relation between electrically conductive properties and flexural behaviors of ultra‐high‐performance concrete

Niu

Jiao

Guo

et al. 2023

Structural Concrete

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The ability of the resistivity measurement to study the crack propagation behavior of the ultra‐high‐performance concrete (UHPC) under flexural loading was analyzed, and focused on investigating the effects of crack length and the fracture process zone (FPZ) on the change in electrical resistivity in the post‐cracking stage. The results indicated that the strain‐dependent resistivity characteristic was able to drawn by a linear‐fitting equation before the crack initiated (stage I). After the crack initiated, the change in electrical resistance of the UHPC can be good to reflect the crack development in the post‐cracking stages (II and III), then, the relationship between the crack propagation behavior and the fractional change in electrical resistance (FCR) can be quantitative analysis by using an exponential function. It was also found that the evolution of the crack length and FPZ also had an appreciable impact on the variation tendency of the FCR. The crack length increased dramatically at first and then increased smoothly with the increase of FRC, while the FPZ showed the reverse change trend.

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Section: Introductionmentioning

confidence: 99%

Relation between electrically conductive properties and flexural behaviors of ultra‐high‐performance concrete

Niu

Jiao

Guo

et al. 2023

Structural Concrete

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“…Nondestructive testing methods, such as X-ray [9], optical fiber [10] and acoustic emission sensor [11] have been widely used in damage sensing. However, most of these traditional monitoring techniques require embedding or attachment of the sensing elements.…”

Section: Introductionmentioning

confidence: 99%

Damage self-sensing behavior of carbon nanofiller reinforced polymer composites with different conductive network structures

Xiang

Wang

Tang

et al. 2018

Polymer

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Multi-walled carbon nanotube (MWCNTs) and graphene nanoplatelet (GNPs) filled high-density polyethylene (HDPE) composites with randomly dispersed (DCN) and segregated (SCN) conductive network structures were fabricated by a solution-assisted mixing method. The damage self-sensing behavior of the resulting composites was investigated via in situ electrical-mechanical measurements. The results show that nanofiller type and conductive network structure significantly influence the damage self-sensing behavior of the composites. The relative resistance change (RRC) of HDPE/MWCNT composites during tensile deformation can be divided into three stages. Compared to HDPE/MWCNT composites with DCN structures, more robust conductive networks are formed in SCN structures, resulting in smaller RRC. The self-damage sensing behavior of all HDPE/GNP composites follows a similar trend, starting with a quasi-linear increase in RRC followed by a sudden rise induced by brittle fracture of the material. Nanofiller content was also found to affect the damage self-sensing behavior of the composites with a higher nanofiller loading corresponding to a lower damage sensing sensitivity. A modeling study based on tunneling theory was also conducted to further analyze the mechanism. In addition, the tensile properties of the composites were measured. This study provides some important information for development of smart structural materials.

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“…The health monitoring sensors should meet the requirements such as small weight and size and high sensitivity in long service life. 6 Several nondestructive testing methods such as X-ray, 7 optical fiber, 8 and acoustic emission sensors have been used for health monitoring of FRP. But almost all of the traditional health monitors need a prediction for damage area in advance, and some of them need additional sensors inside FRP, which will introduce defects into materials.…”

Section: Introductionmentioning

confidence: 99%

Strain and damage self-sensing properties of carbon nanofibers/carbon fiber–reinforced polymer laminates

Wang

Chang

Chen

2017

Advances in Mechanical Engineering

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Unidirectional fiber-reinforced composites of ''plain'' carbon fiber-reinforced polymer laminates and carbon nanofibers modified carbon fiber-reinforced polymer laminates were prepared based on the manufacture of the epoxy resin modified with various contents of carbon nanofibers. The carbon nanofibers-modified epoxy matrix and carbon fiberreinforced polymer laminates specimens were subject to constant amplitude cyclic tensile loading, quasi-static tension loading, and incremental cyclic tension loading while the values of their electrical resistance were monitored through electrical resistance technique. Resistance-change curves of carbon nanofibers/carbon fiber-reinforced polymer laminates indicated the changes in conductive percolation networks formed by carbon fibers or carbon nanofibers. These changes can identify the complex damage modes and the loss of mechanical integrity in laminates. The changes in resistance of specimens showed a nearly linear correlation with the strain, so the damage process of the carbon fiberreinforced polymer laminates can be self-sensed according to the resistance-change curves. In addition, uniformly dispersed carbon nanofibers formed a network that spans the whole insulation area, which improved their self-sensing property of strain sensitivity without compromising the mechanical properties of the carbon fiber-reinforced polymer laminates. This technology can achieve the quantitative strain and damage self-sensing properties of nano-reinforced composites without any additional sensor, and it is bound to be a promising method for in situ health monitoring.

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Intralaminar fatigue behaviour of carbon fibre reinforced plastics

Cited by 22 publications

References 4 publications

Relation between electrically conductive properties and flexural behaviors of ultra‐high‐performance concrete

Relation between electrically conductive properties and flexural behaviors of ultra‐high‐performance concrete

Damage self-sensing behavior of carbon nanofiller reinforced polymer composites with different conductive network structures

Strain and damage self-sensing properties of carbon nanofibers/carbon fiber–reinforced polymer laminates

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