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Record W4402263252 · doi:10.32920/26883763

The Effect of Moisture Accumulation in Below-Grade Insulation

2024· preprint· en· W4402263252 on OpenAlexaff
Jesse Osmond

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicHygrothermal properties of building materials
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMoistureEnvironmental scienceMaterials scienceComposite material

Abstract

fetched live from OpenAlex

As building codes continue to introduce more stringent performance requirements, the placement of insulation in the building enclosure has been shifted to the exterior to provide a continuous insulation layer and reduce thermal bridging. However, modern construction practices for foundation walls typically leave the below-grade insulation exposed to the exterior environment, resulting in the insulation layer absorbing moisture from the soil. This moisture absorption will decrease the long-term performance of insulation and is typically not accounted for in the design, resulting in buildings performing below the expected level. The magnitude of this reduction will vary depending on the type of insulation used. This study utilized hygrothermal modelling and laboratory testing to determine how significant this reduction in performance will be for various types of insulation typically used below-grade. The insulation types investigated in this study include EPS, graphite embedded EPS (GPS), XPS, mineral wool, and closed-cell spray foam. The results showed a minimal increase in thermal conductivity amongst the rigid polystyrene insulation products, while the thermal conductivities of the spray foam and mineral wool insulations increased by approximately 10% and 20% respectively. The minimal effect on the polystyrene insulation products is likely a consequence of the lower permeabilities of these products. Additional research should be conducted over a longer wetting period. In cold climates, the effect of freeze-thaw cycling on these insulations should also be studied.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.265
Teacher spread0.248 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2024
Admission routes1
Has abstractyes

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Same topicHygrothermal properties of building materialsFrench-language works237,207