Hygrothermal design methodology for exterior wood-frame walls in Canadian low-rise residential construction
Bibliographic record
Abstract
This thesis presents a design methodology for the satisfactory long-term hygrothermal performance of exterior wood-frame walls in low-rise residential construction as constructed in the cold climate of Canada. Two wall types are considered: a 38mm x 140mm brick-clad wood stud wall insulated internally with fibreglass and externally with extruded polystyrene, and a 38mm x 140mm EIFS-clad wood stud wall insulated internally with fibreglass and externally with expanded polystyrene. The hygrothermal performance of walls exposed to simulated climates in Halifax, Ottawa, Toronto, Saskatoon and Vancouver is examined. The methodology uses an advanced hygrothermal model hygIRC 1-D (NRC) to simulate the performance of the wall and analyze the results. Quasi-limit state design principles are applied. The maximum amounts of extra added external insulation necessary for satisfactory long-term hygrothermal performance are determined for both wall types in all five cities. The thesis makes recommendations for the National Building Code of Canada.
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 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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".