Assessment of Moisture Response and Expected Durability of a Heritage Masonry Building Subjected to Projected Future Climate Loads of Ottawa, Canada
Bibliographic record
Abstract
As part of the Canadian government‘s recent drive to the "on Greening Government" initiative, heritage buildings forming part of the parliamentary precinct in Ottawa, Canada are to be retrofitted in the coming years to help reduce energy usage and decrease greenhouse gas emissions associated with heating and cooling. Increasing levels of GHG concentrations over time has the potential to raise the mean global temperature by +3.5 degrees. The predicted impact on Ottawa‘s climate will be significant, increasing precipitation annually by 14.4% and decreasing the January winter design temperature from - 25º C to -11.7º C or 53%. In this paper, the moisture response of a heritage building located in Ottawa, Canada is determined from results of numerical simulations when subjected to both historical and projected future climate loads. Various insulation strategies for masonry wall systems were assessed. The objective was to decrease the energy demand associated with heating and cooling by applying insulation on the interior face of the masonry. Using future climate loads, results from hygrothermal modeling showed that although the climate change model produces higher volumes of annual precipitation, no deleterious levels of moisture build-up were observed in the wall system. In fact, moisture levels remained relatively consistent, irrespective of the insulation type applied to the interior face of the walls. Moisture content for all scenarios was well below critical saturation of the masonry materials. The warming climate has a dramatic effect by reducing the number of hours below freezing experienced by the interior brick wythe when interior insulation is applied. From the hygrothermal analysis, it was concluded that the warming temperatures will substantially reduce the number of hours the interior wythe of masonry experiences freezing temperatures which in turn, reduces the potential for freeze-thaw damage to the masonry. The interior application of moderate levels of insulation should therefore be considered for retrofit measures for this heritage building, located in Ottawa, Canada, without increasing the risk of damage to the wall.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".