Damage assessment of ring nets in flexible barriers subjected to consecutive rockfall impacts
Bibliographic record
Abstract
In response to the unpredictable nature of rockfall hazards, flexible barrier systems must endure both single and consecutive impacts in practical scenarios. This study conducted a preliminary series of large-scale impact tests, focusing on the damage assessment of ring nets in flexible rockfall barriers, while considering various rock shapes, sizes, and net specifications. Performance indicators, including impact force, net deflection, and energy dissipation, derived from consecutive impact tests were systematically compared with those obtained from single impact tests. The experimental findings reveal a strong correlation between damage evolution in ring nets during consecutive rockfall impacts and both impact force and energy dissipation. Despite the significant deflection observed in the flexible barrier, existing damage indices incorporating the deflection indicator proved unsuitable for evaluating damage under multiple impacts. Consequently, we propose a new damage assessment index that combines force ratio and energy ratio. This index proves highly effective in distinguishing performance degradation from failure of the ring nets as the damage accumulates. Additionally, this index has the potential to assess damage evolution and failure characteristics in practical flexible barrier systems.
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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 | 0.001 | 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) | 0.001 | 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".