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Record W2753193835 · doi:10.1520/jte20170096

Comparative Analysis and Adhesion Testing of Hot-Applied Rubberized Asphalt Membrane Products

2017· article· en· W2753193835 on OpenAlexaboutno aff
E. D. Field, David Gibbons

Bibliographic record

VenueJournal of Testing and Evaluation · 2017
Typearticle
Languageen
FieldEngineering
TopicAsphalt Pavement Performance Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsWaterproofingAsphaltMembraneEngineeringDurabilityForensic engineeringEnvironmental scienceMaterials scienceCivil engineeringComposite materialChemistry

Abstract

fetched live from OpenAlex

Abstract Hot liquid-applied rubberized-asphalt membranes (referred to in this paper as HRA membranes) have over a 40-year track record of use in roofing and waterproofing applications. In the authors' experience, this use has been generally consistent with respect to surface preparation and membrane application procedures. However, the physical and material properties of HRA membranes are not well known and not consistently reported by all manufacturers, leaving designers with limited basis for comparing products. Further, the industry has not reached a consensus on defining adequate adhesion of HRA membranes in the field, or standard field testing procedures for quantifying membrane adhesion. The testing procedures and minimum performance requirements historically used for evaluating HRA membranes are found in a Canadian General Standards Board (CGSB) standard withdrawn in January 2005. However, this archaic standard is still considered the only material standard for HRA membranes in the industry. ASTM International committees are currently developing new standards for the testing and application of HRA membranes based on CGSB Standards recognized in the industry, but consensus has not yet been reached. The laboratory testing program summarized in this paper was performed in two phases, and with five commonly used HRA membrane products. The authors designed the Phase 1 program to compare physical properties of HRA membranes to better understand membrane durability and expected performance across the different products. Phase 1 testing also included material analysis of each HRA membrane, focusing on percentages and types of fillers used with the rubberized-asphalt products. Phase 2 was primarily an adhesion testing program developed to evaluate the bond of HRA membranes to concrete with various surface profiles and preparations, but also included low-temperature flexibility membrane testing and tensile strength testing of reinforcing fabrics used in fabric-reinforced HRA membrane assemblies.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.680
Threshold uncertainty score0.433

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.106
GPT teacher head0.334
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2017
Admission routes1
Has abstractyes

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