Nanocomposite sensors with indium tin oxide nanowires in a polyvinyl butyral matrix for crack detection in structural health monitoring

We propose and test a novel sensor for structural health monitoring (SHM) based on a nanocomposite film consisting of indium tin oxide (ITO) nanowires embedded in a polyvinyl butyral (PVB) matrix to detect cracks. The sensor operates by measuring the electrical resistance between terminals when it is adhered to the surface of a structure. When damage mechanisms are present, the ITO nanowires either break or rearrange, causing a change in the sensor’s internal resistance. However, certain limitations must be addressed for broader applications. Among these, the effects of loading, humidity, and temperature fluctuations in the host structure pose significant challenges. Experimental tests were conducted to evaluate the environmental influences on measurements, revealing minimal data variation, indicating that these factors are not critical concerns. Additionally, sensitivity tests were performed to assess the sensor’s response to structural changes emulating damage mechanisms, and the sensor demonstrated accurate detection. In crack propagation experiments, the sensor detected cracks during their nucleation, propagation, and ultimate failure stages. The results show this novel sensor has strong potential for crack detection and monitoring applications. Another key advantage is the simplicity of signal collection and analysis, as measurements can be obtained through static readings without excitation signals in the structure. Furthermore, the sensor’s resistance correlates well with the extent of damage.

Authors

Institutions

Publication Details

Journal
Structural Health Monitoring
Published
2025-03-24
DOI
https://doi.org/10.1177/14759217251322998
Primary Topic
Smart Materials for Construction
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nanocomposite sensors with indium tin oxide nanowires in a polyvinyl butyral matrix for crack detection in structural health monitoring

Marcelo Ornaghi Orlandi, Eduardo Preto, Samuel da Silva, Beatriz Ambrozini
Structural Health Monitoring
Smart Materials for Construction
article

Nanocomposite sensors with indium tin oxide nanowires in a polyvinyl butyral matrix for crack detection in structural health monitoring

Marcelo Ornaghi Orlandi, Eduardo Preto, Samuel da Silva, Beatriz Ambrozini
article en

Abstract

We propose and test a novel sensor for structural health monitoring (SHM) based on a nanocomposite film consisting of indium tin oxide (ITO) nanowires embedded in a polyvinyl butyral (PVB) matrix to detect cracks. The sensor operates by measuring the electrical resistance between terminals when it is adhered to the surface of a structure. When damage mechanisms are present, the ITO nanowires either break or rearrange, causing a change in the sensor’s internal resistance. However, certain limitations must be addressed for broader applications. Among these, the effects of loading, humidity, and temperature fluctuations in the host structure pose significant challenges. Experimental tests were conducted to evaluate the environmental influences on measurements, revealing minimal data variation, indicating that these factors are not critical concerns. Additionally, sensitivity tests were performed to assess the sensor’s response to structural changes emulating damage mechanisms, and the sensor demonstrated accurate detection. In crack propagation experiments, the sensor detected cracks during their nucleation, propagation, and ultimate failure stages. The results show this novel sensor has strong potential for crack detection and monitoring applications. Another key advantage is the simplicity of signal collection and analysis, as measurements can be obtained through static readings without excitation signals in the structure. Furthermore, the sensor’s resistance correlates well with the extent of damage.

Structural Health Monitoring
Universidade Estadual Paulista (Unesp) (BR)
Financiadora de Estudos e Projetos
Openalex Percentile: Top 96%
Smart Materials for Construction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.