A Rapid Method to Assess Viscoelastic and Mechanosorptive Creep in Wood
Bibliographic record
Abstract
This study presents an alternative method to measure the viscoelastic and mechanosorptive creep of wood using a dynamic mechanical analyzer (DMA).Measurements were made on sugar maple wood specimens in the radial and tangential directions in different RH conditions.Viscoelastic creep measurements showed that DMA can detect effects of time, RH, load level, and wood direction on wood creep.With the applied stress levels (5, 25, 35, and 45%), wood exhibited linear viscoelastic behavior.DMA also demonstrated its value in measuring mechanosorptive effect.The mechanosorptive effect was observed as RH changed during the loading period, resulting in very high deflections.In both viscoelastic and mechanosorptive creep measurements, creep proved to be greater in the tangential direction than in the radial direction.The results of this study demonstrated that a DMA can be a rapid and accurate tool to predict the time-dependent behavior of wood under load.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".