Water Penetration of Veneer Made with Various Clay Bricks
Bibliographic record
Abstract
Rainwater penetration through building enclosures is one of the critical factors affecting building performance and durability. Understanding and assessing rainwater penetration within and through the veneer is crucial to controlling and avoiding moisture-related problems such as biological growth and corrosion in interior structural elements. Adding a layer of clay bricks as a cladding to the windward surface of a building envelope is customary in Canadian residential building construction. Cladding made of clay bricks (often known as clay brick veneer) serves multiple purposes, such as providing additional thermal insulation, aiding in weather resistance, and improving the building’s aesthetics. Though clay brick veneer provides adequate weather resistance for the building, it does not offer complete resistance to rainwater penetration. Rainwater tends to seep through masonry walls, especially when rain is combined with heavy wind conditions. The accumulated excess moisture inside the building may degrade building materials, reduce the insulation quality, and facilitate the growth of fungal mold, endangering the health of the occupants of the building. Hence, studying the resistance of commonly used cladding systems to water penetration is of utmost importance. The experimental program involved the through-wall water penetration of nine full-scale test panels as per ASTM E514/E514M - 20 and supplement surface treatment tests. The water permeance of the brick veneer under air pressure was studied in the laboratory. This research project is laid out to evaluate and compare the resilience of four commonly used clay bricks and stucco cladding systems when subjected to wind-driven rain.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".