Development and Application of Self-Sensing Materials for Structural Health Monitoring of Civil Engineering Infrastructures

This study examines advanced cementitious composites incorporating Multi-Walled Carbon Nanotubes (MWCNTs), combining experimental investigations and analytical modeling for enhanced Structural Health Monitoring (SHM) applications. The experimental phase assessed the electrical properties of specimens with varying MWCNT contents, identifying a percolation zone between 0.05 wt% and 0.5 wt%. A dispersion protocol using ultrasonic agitation and a surfactant ensured the uniform distribution of CNTs. Furthermore, a novel micromechanical model, based on established polymer matrix approaches, was used to predict electrical conductivity behavior, accounting for nanotube geometry, concentration, waviness, and tunneling effects. Model predictions confirmed its effectiveness in analyzing structure–property relationships in CNT-based cementitious materials.

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Publication Details

Published
2025-10-14
DOI
https://doi.org/10.3390/engproc2025112016
Citations
1
Primary Topic
Smart Materials for Construction
Type
article
Field-Weighted Citation Impact
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article

Development and Application of Self-Sensing Materials for Structural Health Monitoring of Civil Engineering Infrastructures

Luciano Feo, Giuseppe Lovisi, Rosa Penna, Annavirginia Lambiase et al.
1 citations
Smart Materials for Construction
0.50
article

Development and Application of Self-Sensing Materials for Structural Health Monitoring of Civil Engineering Infrastructures

Luciano Feo, Giuseppe Lovisi, Rosa Penna, Annavirginia Lambiase, G. Landi
article en
1 citations

Abstract

This study examines advanced cementitious composites incorporating Multi-Walled Carbon Nanotubes (MWCNTs), combining experimental investigations and analytical modeling for enhanced Structural Health Monitoring (SHM) applications. The experimental phase assessed the electrical properties of specimens with varying MWCNT contents, identifying a percolation zone between 0.05 wt% and 0.5 wt%. A dispersion protocol using ultrasonic agitation and a surfactant ensured the uniform distribution of CNTs. Furthermore, a novel micromechanical model, based on established polymer matrix approaches, was used to predict electrical conductivity behavior, accounting for nanotube geometry, concentration, waviness, and tunneling effects. Model predictions confirmed its effectiveness in analyzing structure–property relationships in CNT-based cementitious materials.

University of Salerno (IT)
Openalex Percentile: Top 33%
Smart Materials for Construction
0.50
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