Numerical modelling of impact damage on carbon fiber reinforced polymer laminates
Bibliographic record
Abstract
In recent years, the usage of carbon fiber reinforced polymers in the aviation industry has increased significantly. While numerous advancements have been made in the field of testing and analysis of advanced composites, improvements can still be made in terms of time and cost. This thesis is focused on numerical modelling of nonlinear three-dimensional transient-dynamic impact damage, and also assesses various numerical techniques for reducing computational costs while maintaining the accuracy of results under impact loadings. This thesis does so using three studies and the computational package LS-DYNA. The first study is performed to elucidate the behaviour of a stiffened thin-walled fuselage section subjected to low-velocity, high-energy blunt impact. The fuselage section is comprised of thin skin panels, stringers, frames and shear ties, all of which are modelled as multidirectional carbon fiber laminates. The critical locations during the impact, the failure sequence, and the failure loads, locations and times are all identified. The obtained numerical results are compared to experimental results on low-velocity impacts on composite
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".