Experimental Investigation on the Seismic Behavior of Palletized Merchandise in Steel Storage Racks
Bibliographic record
Abstract
The seismic hazard associated with failure of storage racks in retail facilities open to public depends on the behavior of the rack frames and the response of stored merchandise. In this study, the seismic behavior of palletized merchandise stored on shelves of pallet‐type steel storage racks is investigated and the concept of incorporating slightly inclined shelving is proposed as a measure for mitigating merchandise shedding. Pull tests and shake table tests are conducted. The main objective of the pull tests is to investigate the frictional behavior at the interface between loaded pallets and rack shelves. The major objective of the shake table tests is to characterize the dynamic response of the palletized merchandise under earthquake excitation imposed at the base of rack structures, and determine experimentally the pallet shedding fragility under an ensemble of ground excitations representative of the seismicity of the Western United States. The combination of wooden pallets and shelves with wire decking of waterfall type, typical of many rack installations, is considered. The results of the pull tests indicate that the frictional coefficient at the pallet‐to‐shelf interface varies between 0.37 and 0.45 for a range of loads between 0.55 kN and 13.00 kN. From the results of the shake table tests, the concept of inclined shelving appears to be very effective. An inclination of only 3.5° reduced the observed seismic merchandise shedding fragility to zero for the ground excitations considered.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".