Vibration barriers for shock-producing equipment
Bibliographic record
Abstract
Most modern manufacturing facilities have hammers or presses in addition to precision cutting equipment as their production machinery. Foundations supporting hammers and presses experience powerful dynamic effects. These effects may extend to the surroundings and affect labourers, other sensitive machines within the same facility, or neighbouring residential areas. To control vibration problems, wave barriers may be constructed to isolate vibrations propagating to the surroundings. This paper examines the efficiency of both soft and stiff barriers in screening pulse-induced waves for foundations resting on an elastic half-space or a layer of limited thickness underlain by rigid bedrock. The effectiveness of concrete, gas-cushion, and bentonite trenches as wave barriers is examined for different cases of soil layer depth, trench location, and embedment of the foundation. The model was formulated using the finite element method, and the analysis was performed in the time domain. The efficiency of different types of wave barriers in vibration isolation for shock-producing equipment was assessed and some guidelines for their use are outlined.Key words: hammer foundation, impact load, gas-cushion trenches, concrete trenches, soilbentonite trench, finite element modeling.
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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 | 0.000 | 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) | 0.002 | 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".