Accurate Thickness Characterization of Glass Fiber-Reinforced Composites Using Terahertz Dispersion Compensation Method Based on Sparse Representation

Terahertz (THz) technology, a new nondestructive testing (NDT) approach with frequencies generally ranging from 100 GHz to 10 THz, has been widely used by virtue of its excellent penetration and high spatial–temporal resolution for non-metallic materials. However, in the process of characterizing the thickness of glass fiber-reinforced composite (GFRP) laminate along the THz propagation direction, the dispersion effect of the material will severely affect the accuracy of thickness measurement. In this work, in order to reduce the influence of the dispersion effect and improve thickness estimation accuracy, a THz dispersion compensation method based on sparse representation is proposed to accurately estimate the sparse impulse vector from the dispersive THz signal, with thickness measurement accomplished by the dispersion compensation process. Finally, a series of numerical simulations and experiments were implemented to verify the effectiveness of the proposed THz dispersion compensation method in thickness measurement. It is worth noting that the minimum estimated error in thickness is only 0.11%.

Authors

Institutions

Publication Details

Journal
Journal of Composites Science
Published
2025-09-22
DOI
https://doi.org/10.3390/jcs9090511
Primary Topic
Thermography and Photoacoustic Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Accurate Thickness Characterization of Glass Fiber-Reinforced Composites Using Terahertz Dispersion Compensation Method Based on Sparse Representation

Peihan Li, Xiyuan Peng, Yafei Xu, Hua Zhang
Journal of Composites Science
Thermography and Photoacoustic Techniques
article

Accurate Thickness Characterization of Glass Fiber-Reinforced Composites Using Terahertz Dispersion Compensation Method Based on Sparse Representation

Peihan Li, Xiyuan Peng, Yafei Xu, Hua Zhang
article en

Abstract

Terahertz (THz) technology, a new nondestructive testing (NDT) approach with frequencies generally ranging from 100 GHz to 10 THz, has been widely used by virtue of its excellent penetration and high spatial–temporal resolution for non-metallic materials. However, in the process of characterizing the thickness of glass fiber-reinforced composite (GFRP) laminate along the THz propagation direction, the dispersion effect of the material will severely affect the accuracy of thickness measurement. In this work, in order to reduce the influence of the dispersion effect and improve thickness estimation accuracy, a THz dispersion compensation method based on sparse representation is proposed to accurately estimate the sparse impulse vector from the dispersive THz signal, with thickness measurement accomplished by the dispersion compensation process. Finally, a series of numerical simulations and experiments were implemented to verify the effectiveness of the proposed THz dispersion compensation method in thickness measurement. It is worth noting that the minimum estimated error in thickness is only 0.11%.

Journal of Composites ScienceVol. 9(9)
Harbin Institute of Technology (CN)
Openalex Percentile: Top 71%
Thermography and Photoacoustic Techniques
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.

Accurate Thickness Characterization of Glass Fiber-Reinforced Composites Using Terahertz Dispersion Compensation Method Based on Sparse Representation — Peihan Li, Xiyuan Peng, et al. · Journal of Composites Science (2025) | TGRS Research Map | TGRS