Performance of Chain Energy-Absorbing Anti-Impact Brackets
Bibliographic record
Abstract
With the continuous increase in mining depth, conventional portal support systems have demonstrated insufficient resistance to dynamic impacts, posing significant safety challenges.To address this issue, a novel multi-directional chain-type anti-impact hydraulic support is proposed.The design integrates specially shaped induced slots within the top beam and incorporates flexible chain support structures on both sides to enhance structural resilience.The proposed support structure achieves a 38.5% increase in energy absorption efficiency without significant changes in its overall dimensions.A series of multi-directional impact load simulations were conducted to investigate the deformation characteristics, failure-prone regions, and overall support performance, using equivalent plastic strain and vertical displacement as key evaluation metrics.The principal findings are as follows: (1) Under vertical impact loading, the equivalent plastic strain is primarily concentrated at the mid-joint of the top beam, identifying it as the most vulnerable region.Reinforcement of this area is recommended in future structural designs.For low-velocity lateral impacts, the strain localizes at the connection between the flexible chain and the bracket, suggesting the addition of a ring base at this location, which improves its resistance to localized rockburst damage.(2) The three hydraulic columns exhibit nonuniform vertical displacements under vertical impact, indicating a suboptimal loadbearing response.This uneven deformation reveals a tendency for the central region to fail under concentrated loads.(3) The induced slot demonstrates velocity-sensitive deformation behavior-smaller under high-speed impacts and larger under low-speed impacts-indicating an inherent responsiveness that enables timely activation of energydissipation mechanisms during the early stages of a rockburst.(4) While the lateral impact resistance of the flexible chain structure is slightly lower than its vertical performance, it remains effective in preventing asymmetric failure propagation, thereby enhancing roadway stability under complex stress conditions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".