Laboratory demonstration of solar driven inward vapour diffusion in a wall assembly
Bibliographic record
Abstract
On-going discussions on various forms of moisture transport in buildings have often focused on the nature of vapour diffusion in wall assemblies. Recent field investigations at the Institute for Research in Construction (IRC), NRC Canada, have yielded data on the effect of solar radiation on the exterior surface temperature of wall assemblies. On a sunny day in August 2004, on the exterior surface of a south-facing wall, a temperature rise close to 25°C over the surrounding air temperature was recorded. Coincident increases in the absolute humidity ratio of the air in the cavity behind the brick were measured, suggesting inward drive of brick moisture into that cavity. A laboratory facility at IRC, called the Envelope Environmental Exposure Facility (EEEF) has been used to launch an investigation on the behaviour of the vapour diffusion in exterior walls exposed to solar radiation. A 2.4 m by 2.4 m test specimen of a simple wallassembly was constructed, the exterior surface of the specimen soaked in simulated rain conditions and subsequently heated by infrared heaters to mimic the rise in surface temperature due to solar radiation. The wall was fully instrumented for temperature and relative humidity measurements at both surfaces as well as at every interface. This paper presents a brief description of the EEEF, details of the test specimen and data collection, and data from the above experiment. A clear indication of an inward diffusion of water vapour across the wall as the exterior surface is heated is derived from both laboratory controlled and field experiments
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".