Assessment of Moisture Performance of National Building Code Canada Compliant Wall Assemblies under Climate Change
Bibliographic record
Abstract
Due to climate change, higher temperatures and rainfalls are expected to happen in some areas of Canada, which might increase the climate loads on buildings and lead to premature degradation of moisture-sensitive materials in wall assemblies. To investigate potential durability issues in three cities across Canada (Ottawa, Vancouver and Calgary), code-compliant wood-frame walls with two types of claddings, stucco and brick, were simulated using Delphin 5.9. Two different climate data sets, historical and future when a global warming of 3.5ºC is expected to be reached were used. The hygrothermal performance in terms of mold growth risk was analysed with respect to cladding types, considering air leakage. All the three cities are similarly warmer in the future. However, wind-driven rain (WDR) is higher in Vancouver than in Ottawa and Calgary. With brick cladding the relative humidity is kept below the threshold for mould development only in Ottawa and Calgary. With stucco in future, while Ottawa shows greater mould indices than historical, Calgary shows opposite behavior. The results suggest that the risk of mould growth due to air leakage may decrease in the future.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".