Novel high cycle vibration-based fatigue test for pure shear loading
Bibliographic record
Abstract
Aeronautical components are frequently subjected to multiaxial stresses. Producing representative fatigue data is compromised by the high costs and extended durations of traditional tests. This work proposes a novel high cycle vibration-based fatigue method for pure shear. A design protocol was followed to develop a specimen capable of inducing this specific stress state during resonance conditions. The stress state was validated experimentally using a strain rosette. The proposed methodology was subsequently applied to characterize the fatigue behavior of Ti-6Al-4V fabricated via L-PBF with as-built surfaces. The fatigue strengths obtained at around 700 Hz proved to be in accordance with available results from standard torsion tests at 5 Hz. All fatigue initiations occurred within the high stress zone and far from the edges. Fractography analysis revealed that all failures were linked to typical additive manufacturing discontinuities, such as lack of fusion and surface roughness features. The use of flat plate specimens proved advantageous for analyzing the influence of surface characteristics on fatigue behavior, as they offer superior visibility of crack initiation and propagation compared to cylindrical geometries. Furthermore, the significant reduction in test duration underscores the efficiency of the proposed approach for investigating the effects of cyclic shear stress. • Innovative pure shear fatigue tests at 700 Hz using an electrodynamic shaker. • Torsion testes using plate specimens easing surface investigation. • Multiaxial fatigue data acquired 140× faster than conventional torsion tests. • Characterization of pure shear fatigue resistance of Ti–6Al–4V L-BPF with as-built surfaces.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".