Nan Tao; Andrei Anisimov; Groves, Roger (2025): Shearography data for deep defect detection and characterization in thick GFRP laminates. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/21674780.v2

Version 3 - 2025-06-23 (latest) Version 1 - 2022-12-06

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Categories

• Mechanical Engineering
• Aerospace Engineering
• Engineering

Keywords

Deep defect characterization finite element method (FEM) glass fiber reinforced polymer (GFRP) shearography thick composites

Licence

CC BY 4.0

Interoperability

• IIIF Manifest
• RO-Crate Metadata

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by Nan Tao , Andrei Anisimov , Roger Groves

Thick composite materials, e.g. thickness of more than 50 mm, are increasingly used in various industries including aerospace and marine sectors. Nevertheless, defect detection and characterization in these materials remain an appealing challenge. This research aims to improve deep defect characterization in thick composites with shearography. The raw data (phase-shifted speckle interferograms) are available with the metadata to reproduce the experimental results. Additional interactive videos with the variation of the phase induced by the defects are generated in the dataset

History

• 2022-12-06 first online

• 2025-06-17 published, posted

Publisher

4TU.ResearchData

Format

.avi and .bmp, and .mat

Associated peer-reviewed publication

Towards safe shearography inspection of thick composites with controlled surface temperature heating

References

• https://doi.org/10.1016/j.compstruct.2021.115008
• https://doi.org/10.1016/j.compstruct.2022.115980

Funding

• OPZuid project PROJ-00730
• EFRO nr. 31B1.0730.

Organizations

TU Delft, Faculty of Aerospace Engineering, Department of Aerospace Structures and Materials