Fatigue life assessment framework of parallel steel wire cables subjected to high-order vortex-induced vibrations
Bibliographic record
Abstract
This study proposed a novel framework for assessing fatigue life of parallel steel wire cables (PSWCs) subjected to high-order vortex-induced vibrations (H-VIVs). Field measurements of H-VIVs on the PSWCs of the Hengmen west waterway bridge's PSWCs are first conducted. A dimensionless bending coefficient, k = n·A/L (where n is the VIVs mode, A is the VIVs amplitude, and L is the cable length), is introduced to unify the multiple influencing parameters and characterize the behavior of H-VIVs. Subsequently, numerical simulations are carried out to analyze the stress characteristics of the PSWCs. Based on the simulation results, the traditional S-N curve is transformed into a novel k-N curve. Finally, a fatigue life assessment framework is developed using Palmgren–Miner's rule. The results demonstrate that the bending coefficient k effectively links the traditional S-N curve with H-VIV-induced fatigue damage and reveals the distribution characteristics of H-VIVs. During H-VIVs, the PSWC conforms to the plane section assumption, and its fatigue characteristics are primarily determined by the fatigue properties of individual steel wires. Moreover, corroded PSWCs face a significant risk of fatigue failure, whereas those without corrosion have a sufficient lifespan.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".