Evaluation of bending performance of carbon fiber-reinforced eucalyptus/poplar composite plywood by digital image correlation and FEA analysis
Source abstract
Abstract
The failure of composite materials during bending is an issue that must be considered in the performance evaluation of structural materials. Strong–weak interlaminated composites are particularly prone to weak interfaces. In this study, the digital image correlation (DIC) method is used to detect the strain distribution of high-performance carbon fiber-reinforced eucalyptus/poplar composite plywood under three-point bending. Finite element analysis (FEA) method is used to numerically simulate the composite plywood of each reinforced structure, and failure evaluation in the bent state of plywood is carried out. Testing is then undertaken to determine that the FEA simulated value and the DIC measured value fit well. Besides, bending test verifies the failure mode predicted by FEA, which will be a very good prediction method for material failure.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Natural Fiber Reinforced Composites · Textile materials and evaluations · Additive Manufacturing and 3D Printing Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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