Bibliographic record
Abstract
Newer energy codes for buildings in Canada now require energy losses associated with thermal bridging in smaller components to be accounted for. In masonry cavity wall systems, most of the energy losses from thermal bridging are due to structural penetrations at floor levels located at the shelf angles, the supports of the brick veneer. This is mostly due to shelf angles being designed following outdated guidelines, resulting in large steel shelf angles that creates bands of thermal leakage around the entire building. These old practices are gradually being replaced with intermittently spaced stand-off shelf angle connectors which reduce the cross-sectional area of thermal bridging. Another contributing factor of thermal bridging in shelf angle systems is that they are mostly made of steel, which is a highly conductive material. New technologies, such as plastic polymers, have been proposed to reduce thermal bridging losses, but there are few studies on the performance of the various types of polymers. The current industry standard of performance-based building code compliance is 3D numerical thermal modeling, which provides accurate predictions of the thermal performance of exterior building envelope systems. Although 3D numerical modeling is a highly reliable simulation method (if performed correctly), a limitation is the lack of capacity to run models at the level of complexity required by the building codes. It is also a costly and timely process because it is often contracted out to third party consultants. This study uses 3D thermal modeling to investigate the influence of various parameters (i.e., stand-off shelf angle connector geometry, thermal properties, spacing of stand-off connectors, insulation thickness, and structural backup type) on the thermal performance of the envelope (i.e., heat flux through the assembly). These parameters were chosen as the focus of the study due to their high level of variability that may occur from detail to detail. A second goal of this study is to use the results of the 3D models to determine a numerical relationship to calculate thermal bridging effects of various influential parameters, instead of having to model a new assembly each time. For stand-off shelf angle connector geometry, it was found the heat flux difference between using a proprietary bracket and knife plate system was negligible. Additionally, reducing the spacing between stand-off shelf angle connectors appears to have the greatest range of influence on thermal performance for concrete masonry unit (CMU) backups on concrete slabs, and by extension, also steel stud backups. Wood stud backups are generally not affected by stand-off shelf angle connector spacing or insulation type and thickness. The linear transmittance results of the proprietary bracket, with a wood intermediate floor are almost the same value (same value when rounded to the nearest hundredth decimal point) regardless of insulation type and thickness. This is not surprising as the wood stud flooring has a low conductivity and the heat transferred from the interior to exterior that reaches the proprietary brackets is already a small amount. For CMU backups, changing from hot-dipped galvanized steel (HDG) steel to glass-fiber reinforced polymer (GFRP) knife plates, reduces the thermal bridging through the assembly because GFRP has a much lower conductivity than HDG steel. The difference appears to be more significant as the insulation thickness increases. For steel stud backups, the result from changing HDG to GFRP stand-off shelf angle connectors were more dramatic, as the GFRP connector had a linear transmittance that was nearly zero. This indicates that the full wall simulation provided a heat flux density value very close to its clear wall value. So generally, for a steel stud backup, a GFRP stand-off shelf angle connector is not considered a thermal bridge.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".