Damage Evolution Analysis of Seawater Aged Glass Fiber‐ <scp>MWCNT</scp> /Epoxy Laminates Through Acoustic Emission and Piezoresistivity

ABSTRACT An analysis of damage evolution of aged glass fiber epoxy composites subjected to bending loading was performed by the combined use of acoustic emission (AE) and self‐monitoring ability enabled by the incorporation of multiwall carbon nanotube (MWCNT) networks. The acoustic signal analysis was conducted using a classification methodology based on the k‐means algorithm and principal component analysis (PCA). This approach enabled the detection of failure modes including matrix fiber‐matrix separation, matrix failure, fiber rupture, and delamination. The aged samples retained their piezoresistive response, and by monitoring changes in electrical resistance along with key acoustic emission (AE) parameters, it was possible to track specific failure events throughout the damage evolution of the composites. In order to monitor the damage evolution of samples with piezoresistive capability, and similarly to the definition of the sentry function (SF), a pseudo‐SF was proposed, but by utilizing the variation in electrical resistance instead of the cumulative acoustic energy as the SF is normally defined. Damage assessment of the failed specimens was performed through the use of x‐ray computed tomography and scanning electron microscopy (SEM). The collective use of piezoresistivity and AE techniques provides a reference for the structural health monitoring (SHM) of fiber‐reinforced materials in marine applications.

Authors

Institutions

Publication Details

Journal
Polymer Composites
Published
2025-07-24
DOI
https://doi.org/10.1002/pc.70203
Primary Topic
Smart Materials for Construction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Damage Evolution Analysis of Seawater Aged Glass Fiber‐ MWCNT /Epoxy Laminates Through Acoustic Emission and Piezoresistivity

Eduardo José‐Trujillo, María del Pilar de Urquijo‐Ventura, Julio Alejandro Rodríguez‐González, Carlos Rubio‐González
Polymer Composites
Smart Materials for Construction
article

Damage Evolution Analysis of Seawater Aged Glass Fiber‐ MWCNT /Epoxy Laminates Through Acoustic Emission and Piezoresistivity

Eduardo José‐Trujillo, María del Pilar de Urquijo‐Ventura, Julio Alejandro Rodríguez‐González, Carlos Rubio‐González
article en

Abstract

ABSTRACT An analysis of damage evolution of aged glass fiber epoxy composites subjected to bending loading was performed by the combined use of acoustic emission (AE) and self‐monitoring ability enabled by the incorporation of multiwall carbon nanotube (MWCNT) networks. The acoustic signal analysis was conducted using a classification methodology based on the k‐means algorithm and principal component analysis (PCA). This approach enabled the detection of failure modes including matrix fiber‐matrix separation, matrix failure, fiber rupture, and delamination. The aged samples retained their piezoresistive response, and by monitoring changes in electrical resistance along with key acoustic emission (AE) parameters, it was possible to track specific failure events throughout the damage evolution of the composites. In order to monitor the damage evolution of samples with piezoresistive capability, and similarly to the definition of the sentry function (SF), a pseudo‐SF was proposed, but by utilizing the variation in electrical resistance instead of the cumulative acoustic energy as the SF is normally defined. Damage assessment of the failed specimens was performed through the use of x‐ray computed tomography and scanning electron microscopy (SEM). The collective use of piezoresistivity and AE techniques provides a reference for the structural health monitoring (SHM) of fiber‐reinforced materials in marine applications.

Polymer CompositesVol. 47(2)
Instituto Tecnológico de Querétaro (MX), Center for Engineering and Industrial Development (MX), Tecnológico de Monterrey (MX)
Openalex Percentile: Top 87%
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.