Self-sensing concrete composites using carbon nanotubes-coated PE fibers: Effect of matrix type on crack initiation and propagation monitoring

Detection of cracking in cementitious composites through their own electrical feedback is of great interest, as these materials can act as both structural elements and sensing components, providing early warnings that enhance durability and integrity. However, the electrical signals generated by self-sensing cementitious materials are often weak, making them difficult to distinguish from signals caused by other environmental factors. These signals are also influenced by matrix properties, particularly porosity, which has rarely been investigated. This study investigates the crack-sensing performance of concrete composites incorporating single carbon nanotube (CNT)-coated polyethylene (PE) fibers within both high-strength (HS) and normal-strength (NS) cementitious matrices. Electrical characteristics, porosity, and crack-detection behavior were evaluated to determine how matrix type affects self-sensing capability. Mercury intrusion porosimetry (MIP) showed that the porosity of the NS matrix is nearly twice that of the HS matrix, creating a more open fiber–matrix interface. As a result, NS specimens exhibited lower resistivity and higher conductivity than HS specimens. During crack development, the relative resistance of HS specimens increased by up to 4000 % for crack widths exceeding 200 µm, far lower than the 100,000 % change observed in NS specimens. This heightened sensitivity is attributed to greater fiber mobility and CNT detachment in the more porous NS matrix, which disrupts electrical pathways. In contrast, CNT displacement is restricted within the denser HS matrix, resulting in a more stable but less sensitive response. These findings highlight the critical role of matrix selection in optimizing the self-sensing performance of concrete composites for structural health monitoring. • Studied HS and NS matrices in CNT-coated fiber self-sensing concrete composites. • NS matrix showed looser interface, improving conductivity and crack sensitivity. • NS composites had lower resistivity, better conductivity than HS composites. • Both HS and NS detected cracks via sudden rise in electrical resistance. • NS showed ΔR/R% up to 100,000 % vs. 4000 % in HS at > 200 µm cracks.

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Publication Details

Journal
Construction and Building Materials
Published
2025-12-23
DOI
https://doi.org/10.1016/j.conbuildmat.2025.144958
Primary Topic
Smart Materials for Construction
Type
article
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article

Self-sensing concrete composites using carbon nanotubes-coated PE fibers: Effect of matrix type on crack initiation and propagation monitoring

Marco Liebscher, Viktor Mechtcherine, Golrokh Airom, Ali Bashiri Rezaie et al.
Construction and Building Materials
Smart Materials for Construction
article

Self-sensing concrete composites using carbon nanotubes-coated PE fibers: Effect of matrix type on crack initiation and propagation monitoring

Marco Liebscher, Viktor Mechtcherine, Golrokh Airom, Ali Bashiri Rezaie, Mahsa Mohammadi
article en

Abstract

Detection of cracking in cementitious composites through their own electrical feedback is of great interest, as these materials can act as both structural elements and sensing components, providing early warnings that enhance durability and integrity. However, the electrical signals generated by self-sensing cementitious materials are often weak, making them difficult to distinguish from signals caused by other environmental factors. These signals are also influenced by matrix properties, particularly porosity, which has rarely been investigated. This study investigates the crack-sensing performance of concrete composites incorporating single carbon nanotube (CNT)-coated polyethylene (PE) fibers within both high-strength (HS) and normal-strength (NS) cementitious matrices. Electrical characteristics, porosity, and crack-detection behavior were evaluated to determine how matrix type affects self-sensing capability. Mercury intrusion porosimetry (MIP) showed that the porosity of the NS matrix is nearly twice that of the HS matrix, creating a more open fiber–matrix interface. As a result, NS specimens exhibited lower resistivity and higher conductivity than HS specimens. During crack development, the relative resistance of HS specimens increased by up to 4000 % for crack widths exceeding 200 µm, far lower than the 100,000 % change observed in NS specimens. This heightened sensitivity is attributed to greater fiber mobility and CNT detachment in the more porous NS matrix, which disrupts electrical pathways. In contrast, CNT displacement is restricted within the denser HS matrix, resulting in a more stable but less sensitive response. These findings highlight the critical role of matrix selection in optimizing the self-sensing performance of concrete composites for structural health monitoring. • Studied HS and NS matrices in CNT-coated fiber self-sensing concrete composites. • NS matrix showed looser interface, improving conductivity and crack sensitivity. • NS composites had lower resistivity, better conductivity than HS composites. • Both HS and NS detected cracks via sudden rise in electrical resistance. • NS showed ΔR/R% up to 100,000 % vs. 4000 % in HS at > 200 µm cracks.

Construction and Building MaterialsVol. 506
Openalex Percentile: Top 50%
Smart Materials for Construction
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