Evaluation of natural frequency and damping of profiled steel sheet dry board composite panel
Bibliographic record
Abstract
This paper evaluates the natural frequency and damping coefficient of Profiled Steel Sheet Dry Board (PSSDB) composite flooring panel system. The PSSDB composite flooring panel consists of dry board attached to the top surface of profiled steel sheet by self-drilling and self-tapping screws. This PSSDB composite panel has been used successfully as flooring system in few construction projects within Malaysia. As a lightweight flooring system, human induced vibration is becoming increasingly vital serviceability and safety issues for such panel when it is covering relatively longer span or area. Therefore, it is important to evaluate the factors affecting the serviceability performance and hence, to consider the effects of vibration in building such flooring system. This research is focused mainly on the fundamental frequency and damping coefficient of such floor panel. The influence of span length, board thickness, and connectors spacing on fundamental frequency are evaluated. It is shown that for the panels considered in this paper; up to the span length of 3.5 m the fundamental frequency is above the limiting minimum value of 8Hz and hence, it can be concluded that such composite floor panel with practical span length will be comfortable to the occupants of building in terms of human induced vibration.
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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) | 0.001 | 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".