Journal
POLYMER TESTING
Volume 72, Issue -, Pages 223-231Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.polymertesting.2018.10.025
Keywords
Epoxy resin; Void defect; Digital image correlation; Image-based finite element model
Funding
- Foundation for Innovative Research Groups of the National Natural Science Foundation of China [11521202]
- National Natural Science Foundation of China [11872012]
- Project of State Key Laboratory of Explosion Science and Technology
- Young Elite Scientists Sponsorship Program
- Natural Science Foundation for Colleges and Universities of Jiangsu Province of China [16KJB130003]
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Fiber-reinforced polymer composite structures are increasingly used as load-bearing components in aerospace and automotive industries. The precise mechanical properties of composites are essential for structural design and analysis. Void defects, which are caused by the curing process of resin matrix, greatly impact the overall performance of composite structures. In this study, a novel image-based finite element modeling algorithm is proposed to acquire the real three-dimensional topography of void defects, including micro X-ray computed tomography scanning, image processing, non-uniform rational B-spline reconstruction and Boolean logic operation. This new algorithm can solve the reconstruction of blurry tomographic slices. Epoxy resin specimens embedded with a low-density expanded polystyrene bead as void defect were fabricated and tested with a digital image correlation system. By using the developed modeling method, the effects of void defect on the ultimate strength, Young's modulus, damage mode and strain field distribution of specimens were analyzed and compared with experimental data. Results revealed that the real geometry of the void defect must be accounted for to obtain the maximum stress accurately.
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