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Record W2102414539 · doi:10.1520/jai102085

A New Testing Method to Evaluate the Relative Drying Performance of Different Building Envelope Systems Using Water Trays in Stud Cavities as Moisture Source

2009· article· en· W2102414539 on OpenAlexaff
Paul Fazio, Arslan Alturkistani, Jiwu Rao, Qian Mao

Bibliographic record

VenueJournal of ASTM International · 2009
Typearticle
Languageen
FieldEngineering
TopicHygrothermal properties of building materials
Canadian institutionsConcordia University
Fundersnot available
KeywordsEnvelope (radar)MoistureWater contentMaterials scienceBuilding envelopeEnvironmental scienceComposite materialGeotechnical engineeringEngineeringThermodynamicsPhysicsAerospace engineering

Abstract

fetched live from OpenAlex

Abstract Due to defects in construction, design, and/or deterioration during operation, failure occurs where rain water penetrates into stud cavities of wall systems. Some wall systems tolerate this water intrusion better than others. A new test method has been developed to evaluate the relative capacities of different wall systems to dry out the invading water. In the test setup, the walls of a two-story test hut were made up of 31 wall assemblies (each 2.44×0.76 m2) of different configurations. The hut was erected within a large climatic chamber and subjected to a steady-state climatic loading for 288 days. Within each stud cavity, a water tray on an electronic load cell was placed on the bottom plate to provide a moisture source that represents water penetrating into the stud cavity and provides a consistent moisture loading from one specimen to another. Each wall assembly was instrumented with 25 gravimetric samples and relative humidity and temperature sensors/probes. Indexes were developed to indicate the relative performance of the walls.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score0.429

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.033
GPT teacher head0.290
Teacher spread0.257 · 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
Published2009
Admission routes1
Has abstractyes

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