Analytical Modeling of Delamination in T300-3000 Epoxy Carbon Fiber Composites under Three-Point Bending Test
Bibliographic record
Abstract
The use of composite materials has emerged as a critical alternative to traditional metallic structures, particularly in aerospace engineering where high strength-to-weight ratio and structural integrity are essential.This paper presents an analytical and experimental investigation of delamination in T300-3000 epoxy carbon fiber composites subjected to three-point bending tests.The main contribution lies in the development of a predictive model integrating Classical Plate Theory (CPT) with the Tsai-Hill failure criterion to assess delamination initiation and propagation.A specially designed multilayered laminate was tested under standardized conditions, and a strong correlation was observed between experimental results and model predictions, with a deviation of less than 8% in peak load estimations.The mechanical properties of the epoxy interface, along with Fiber Volume Fraction (FVF), were also taken into account for a more accurate representation of interlaminar stress distribution.The study highlights the limitations of the Tsai-Hill criterion, particularly in differentiating tensile and compressive transverse failures, and recommends the inclusion of higher-order shear deformation theories in future work.The proposed approach offers valuable insights into the structural behavior of composites under flexural loading and can guide the design of more damage-tolerant aerospace components through better laminate configuration and non-destructive evaluation strategies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".