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Record W3186989018 · doi:10.22215/etd/2021-14505

Durability Characterization of a High Performance Building Envelope with Vacuum Insulation Panels and Energy Recovery Ventilation

2021· dissertation· en· W3186989018 on OpenAlexaff
Christopher J. Campbell

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicHygrothermal properties of building materials
Canadian institutionsCarleton University
Fundersnot available
KeywordsDurabilityBuilding envelopeVentilation (architecture)Envelope (radar)MoistureArchitectural engineeringEngineeringForensic engineeringMaterials scienceComposite materialMechanical engineering

Abstract

fetched live from OpenAlex

Vacuum insulation panels (VIPs) can help achieve thin, highly insulated building envelopes, but poor implementation and insufficient ventilation can lead to durability issues. This thesis describes a field study that was used to characterize the durability of a research house with a thin, VIP-integrated building envelope and an energy recovery ventilator (ERV). The study employed long term hygrothermal monitoring of the building envelope and various tests to evaluate the insulation performance, airtightness, and ventilation effectiveness. The impacts of VIPs and ventilation on durability were discussed, with emphasis on moisture buffering, drying potential, mold growth risk, and VIP aging. The house demonstrated exceptional insulation performance with no risk of visible mold growth during the study. The walls and floor showed acceptable conditions for VIP longevity, and the ERV showed a potential to sufficiently buffer indoor moisture loads. Recommendations were provided to improve the durability and efficiency of the house.

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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.292
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.007
GPT teacher head0.183
Teacher spread0.176 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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