A Test Protocol to Quantify the Peel Resistance of Adhesive Applied Low Slope Roofing Specimens Subjected to Shear Loading
Bibliographic record
Abstract
Abstract Adhesive Applied Roofing System (AARS)s are regaining popularity in the Canadian low slope application. AARSs use no fasteners. All components (e.g., steel deck, vapour barrier (if any), insulation board, cover board, base sheet, and cap sheet) are integrated using cold adhesives and presented as a new generation of Built-Up Roofs. As there are no metal fasteners, AARSs can offer an advantage of a reduction in the moisture migration and thermal bridges of the roof assemblies. Moisture in the roof envelope can lead generally to material deterioration, structural integrity problems, and the growth of mould. Even though AARSs have been in use, existing uplift standards do not certify them for wind uplift performances. A new project, the “Development of Wind Uplift Standard for Adhesive Applied Low Slope Roofing System,” has been initiated in collaboration with industries, universities, and government departments. The project has three major tasks: Experimental investigation, formulation of a numerical model, and development of wind design guide and standards. This paper documents a segment of the findings from this project. Under Task 1, investigations were completed by constructing over 600 specimens constructed using cold adhesives and examining the peel resistance of bonded roofing components through mechanical separation of bonded layers by applying shear forces. These specimens use the insulation and the cover board components exclusively because they are more vulnerable to peeling under shear forces. Based on this scrutiny, three key parameters; namely, peel position, peel angle, and specimen size were optimized. This paper presents the findings and development of a standardized test method to determine the peel resistance of AARS specimens.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".