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Record W81910032

Solar-driven vapor flow in wood-frame walls with wetted cladding

2005· dissertation· en· W81910032 on OpenAlexaboutno aff
Shan Huang

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2005
Typedissertation
Languageen
FieldEngineering
TopicStructural Analysis of Composite Materials
Canadian institutionsnot available
Fundersnot available
KeywordsCladding (metalworking)MoistureDew pointMaterials scienceWater vaporDewEnvironmental scienceCondensationBuilding envelopeRadiationMeteorologyNuclear engineeringComposite materialOpticsEngineeringThermalPhysics
DOInot available

Abstract

fetched live from OpenAlex

Solar radiation on wet porous claddings may produce inward vapour flow and condensation. In warm and humid climates, such phenomenon must be considered in the building envelope design. Although no major failure due to solar-driven moisture condensation in cold climates have been reported, such moisture transport may occur, and it is not known to what extent summer condensation must be prevented in Canadian climates. The objective of the project presented in this thesis is to investigate the phenomenon and the factors that influence it. The thesis presents an experimental protocol including test specimen design, monitoring instrumentation and loading conditions. Varied parameters include a wet cladding subjected to simulated solar radiation, location of the vapour retarder and ventilation of the air cavity. Solar radiation is simulated using heat lamps. Experimental results on the hygrothermal performance of walls with wet cladding subjected to simulated solar radiation are presented. Experimental results are further analyzed with the dew-point method and a commercial heat and mass transport model.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.013
GPT teacher head0.242
Teacher spread0.229 · 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 designSimulation or modeling
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
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueSpectrum Research Repository (Concordia University)Same topicStructural Analysis of Composite MaterialsFrench-language works237,207