Finite element simulation of debonding of face/core interface in a circular sandwich plate under impact
Bibliographic record
Abstract
The thesis addresses the issue of possible debonding of faces of a sandwich plate under hail-like impact conditions. The interface stresses are considered responsible for the debonding, and to design against this possibility, it is necessary to determine them correctly. The problem is addressed by constructing a FE program to accomplish the following tasks. (i) To analyse a circular sandwich plate as a three dimensional axisymmetric structure, supported at periphery and subjected to a central static load equivalent to the dynamic impact load. Since no plate theories are used, through-the-thickness stresses, from top to bottom, are determined accurately. (ii) To determine the interface stresses uniquely and correctly, an axisymmetric bimaterial interface element was developed and incorporated in the constructed FE program. The standard FE programs do not determine these stresses unambiguously. (iii) To determine the extent of debonding, the program uses an interface shear stress failure criterion. The possibility of interface separation and the impossibility of their inter-penetration are accounted for by means of a gap element. Based on this failure criterion, the program determines, for a given load, the debonding radius by means of iterative analyses. The equivalent static load used in the analysis is determined by an energy balance equation taking into account the mass, velocity, modulus, and radius of the spherical impactor, as well as the properties of the sandwich plate. The results are expected to be of general usefulness in the design of aircraft structures against hail impact damage.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".