Comparison and Design of Dry-Stack Blocks with High Thermal Resistance for Exterior Walls of Sustainable Buildings in Cold Climates
Bibliographic record
Abstract
Given the increasing demand for higher construction productivity and better thermal resistance, adopting innovative building envelope systems is crucial. Dry-stack masonry blocks have emerged as a viable solution, due to their rapid assembly, mortar-free construction, and reduced dependence on skilled labor. However, there is a lack of scientific evaluation on the thermal performance of dry-stack blocks for cold climate zones and corresponding proper designs. This study addresses this gap by investigating market-available blocks and proposing two innovative block designs—a composite block and a simple block—highlighting their thermal performance and associated challenges. Using finite element modelling, the thermal resistance of these blocks was carefully assessed and compared. The results show that thermal bridging, induced by masonry ties penetrating the insulation, significantly impacts the thermal resistance of the wall made with simple blocks, resulting in an 11% decrease in the effective thermal resistance (R-value) as compared to the composite block walls. Furthermore, compared to a conventional masonry wall with the same insulation thickness, the composite-block wall exhibits a 24% higher R-value. The composite block outperforms existing market options in terms of thermal resistance, making it a superior choice for cold climate regions. Conversely, the simple block is preferred when sophisticated manufacturing facilities are unavailable. Overall, the composite block wall’s improved thermal resistance can make a meaningful contribution to lowering operational energy demand (i.e., operational carbon), contributing to the shift to a sustainable building stock.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".