ANALYSIS OF DAMAGE IN LOW-VELOCITY IMPACT-TESTED GFRP-ALUMINUM HONEYCOMB SANDWICH PANELS USING MATLAB

Honeycomb sandwich structures are widely utilized in civil infrastructure applications due to their exceptional mechanical properties. To assess their damage tolerance and strength, low-velocity impact (LVI) tests are commonly performed. This study investigates the damage tolerance of a polyester pin-incorporated foam-filled honeycomb sandwich panel (PFHS) through LVI experiments, comparing it to a conventional foam-filled honeycomb sandwich panel (FHS). The comparison focuses on damage assessment metrics such as damaged area and microscopic examination of the damaged surface. Due to indistinct colors and irregular shapes of damage of LVI-tested panels, visual inspection methods often struggle to accurately determine the damaged area. To address this limitation, this study introduces a cost-effective approach based on digital image analysis and MATLAB programming to precisely quantify the damaged area and assess damage severity without requiring advanced instrumentation. The proposed method proved to be efficient, with results closely matching those obtained through visual inspection. Furthermore, an addition of polyester pin reinforcement significantly enhanced the interlayer crack resistance of the foam-filled honeycomb sandwich panels, resulting in a notable reduction in the impact damaged area.

Authors

Publication Details

Journal
Materiali in tehnologije
Published
2025-04-03
DOI
https://doi.org/10.17222/mit.2024.1192
Citations
1
Primary Topic
Cellular and Composite Structures
Type
article
Field-Weighted Citation Impact
0.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ANALYSIS OF DAMAGE IN LOW-VELOCITY IMPACT-TESTED GFRP-ALUMINUM HONEYCOMB SANDWICH PANELS USING MATLAB

R. S. Jayaram, S. Murugan, P. V. Prasanth, N. Kanthavelkumaran
1 citations
Materiali in tehnologije
Cellular and Composite Structures
0.71
article

ANALYSIS OF DAMAGE IN LOW-VELOCITY IMPACT-TESTED GFRP-ALUMINUM HONEYCOMB SANDWICH PANELS USING MATLAB

R. S. Jayaram, S. Murugan, P. V. Prasanth, N. Kanthavelkumaran
article en
1 citations

Abstract

Honeycomb sandwich structures are widely utilized in civil infrastructure applications due to their exceptional mechanical properties. To assess their damage tolerance and strength, low-velocity impact (LVI) tests are commonly performed. This study investigates the damage tolerance of a polyester pin-incorporated foam-filled honeycomb sandwich panel (PFHS) through LVI experiments, comparing it to a conventional foam-filled honeycomb sandwich panel (FHS). The comparison focuses on damage assessment metrics such as damaged area and microscopic examination of the damaged surface. Due to indistinct colors and irregular shapes of damage of LVI-tested panels, visual inspection methods often struggle to accurately determine the damaged area. To address this limitation, this study introduces a cost-effective approach based on digital image analysis and MATLAB programming to precisely quantify the damaged area and assess damage severity without requiring advanced instrumentation. The proposed method proved to be efficient, with results closely matching those obtained through visual inspection. Furthermore, an addition of polyester pin reinforcement significantly enhanced the interlayer crack resistance of the foam-filled honeycomb sandwich panels, resulting in a notable reduction in the impact damaged area.

Materiali in tehnologijeVol. 59(2)
Openalex Percentile: Top 34%
Cellular and Composite Structures
0.71
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.