Effect of temperature on the electrical conduction and dielectric behavior of solder

Yang, Wenyi; Chung, D.D.L.

doi:10.1007/s10854-021-05369-9

Cited by 5 publications

(1 citation statement)

References 27 publications

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“…The electrical resistance of the samples was measured using the two-point probe method. To minimize measurement errors due to contact resistance between the probe tips and the sample, copper tape was attached to both ends of the sample, and high-purity silver ink was applied between the sample and the copper tape [32,33]. The electrical conductivity of the samples was calculated using Equation ( 1):…”

Section: Characterizationmentioning

confidence: 99%

Crack Detection of Reinforced Concrete Structure Using Smart Skin

Jung,

Jang

2024

Nanomaterials

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The availability of carbon nanotube (CNT)-based polymer composites allows the development of surface-attached self-sensing crack sensors for the structural health monitoring of reinforced concrete (RC) structures. These sensors are fabricated by integrating CNTs as conductive fillers into polymer matrices such as polyurethane (PU) and can be applied by coating on RC structures before the composite hardens. The principle of crack detection is based on the electrical change characteristics of the CNT-based polymer composites when subjected to a tensile load. In this study, the electrical conductivity and electro-mechanical/environmental characterization of smart skin fabricated with various CNT concentrations were investigated. This was performed to derive the tensile strain sensitivity of the smart skin according to different CNT contents and to verify their environmental impact. The optimal CNT concentration for the crack detection sensor was determined to be 5 wt% CNT. The smart skin was applied to an RC structure to validate its effectiveness as a crack detection sensor. It successfully detected and monitored crack formation and growth in the structure. During repeated cycles of crack width variations, the smart skin also demonstrated excellent reproducibility and electrical stability in response to the progressive occurrence of cracks, thereby reinforcing the reliability of the crack detection sensor. Overall, the presented results describe the crack detection characteristics of smart skin and demonstrate its potential as a structural health monitoring (SHM) sensor.

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Section: Characterizationmentioning

confidence: 99%