Seismic performance of sheet steel deck in shear diaphragm design
Bibliographic record
Abstract
Abstract This article outlines the current experimental research activities of Hilti with respect to the seismic performance of sheet steel decks in shear diaphragm designs. Hilti’s vast range of products includes steel screws as well as powder‐actuated nails and tools for the fastening of sheet steel decks and sandwich panels on steel structures. Common designs in North America include shear diaphragms constructed with sheet steel deck which is fastened to thin steel bar joists and structural steel framing supports. In contrast to Europe, most of the fastenings (approx. 85 %) are still made using of arc‐spot puddlewelds, the rest are mechanically fastened. The objective of this ongoing research project is to prove the suitability and performance of such mechanically fastened diaphragm systems when subjected to seismic loading. Therefore, static and dynamic testing of these assemblies are carried out in the “Fastening Systems Research Laboratory” at Hilti headquarters in Schaan, which has been awarded DAP accreditation (DAP, German Accreditation System for Testing — DIN EN ISO/IEC 17025). Static preliminary tests provide the calibration data for the seismic load protocol developed by Prof. Robert Tremblay (University of Montreal, Canada). The results of multiple tests using different sheet metal thicknesses and fastening patterns confirm the ductile behaviour of such constructions.
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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".