Quantification of the effects of air velocity on VOC emissions from building materials
Bibliographic record
Abstract
It has been recognized that volatile organic compound (VOC) emissions from building materials are affected by environmental factors including surface air movements, temperature, and relative humidity in a room. Considering a wide range of environmental conditions in buildings, the effects of environmental factors can be important in simulating indoor levels of VOCs emitted from building materials. Despite the wide recognition of the issue, most research effort has been focused on qualitative investigations.The goal of this research is to determine the correlation between environmental factors and coefficients of mass-transfer based emission models in a mathematical form. As an initial step toward the goal, the emissions of decane applied on an oak substrate were tested in a 400 L dynamic flow chamber with five levels of air velocity and turbulent kinetic energy. The weight of a specimen was monitored over time. A mass-transfer model that accounts for surface evaporation and internal diffusion was applied to the measured data to determine the model coefficients. It was observed that the estimated evaporation coefficient is linearly proportional to the bulk air velocity in the chamber. Also, there was a power-law relationship between turbulent kinetic energy and evaporation coefficient.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".