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Record W1989993140 · doi:10.1117/12.459577

<title>Verification of dynamic buffer zone (DBZ) wall assembly performance using infrared thermography</title>

2002· article· en· W1989993140 on OpenAlexaff
Antonio Colantonio, Rick Quirouette

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2002
Typearticle
Languageen
FieldEngineering
TopicHygrothermal properties of building materials
Canadian institutionsPublic Works and Government Services Canada
Fundersnot available
KeywordsEnclosureThermographyRelative humidityDew pointComputer scienceEnvironmental scienceMechanical engineeringMoistureInfraredMarine engineeringMaterials scienceMeteorologyEngineeringOpticsTelecommunicationsComposite materialPhysics

Abstract

fetched live from OpenAlex

A new type of exterior building enclosure called the dynamic buffer zone (DBZ) system is being designed and built for both new projects and retrofit of existing buildings. Dry conditioned air is forced into and out of interstitial exterior wall cavities by means of dedicated mechanical systems in such a manner as to constantly ensure positive pressure within the cavities relative to interior environments. The primary reason for implementation of this type of design solution is to ensure elimination of moisture accumulation from either interior or exterior sources within the enclosure assemblies. Enclosure cavities are maintained at such low absolute humidity that the cavity air maintains a dew point temperature below the outdoor temperature for most of the time during winter. Since these types of building enclosures rely on mechanical systems, performance verification and commissioning are key components to the success of the assembly to achieve its objectives. Pressure differential, relative humidity and temperature sensors are necessary to ensure effective operation of these types of assemblies but they cannot determine the performance of all areas of exterior assemblies. Infrared thermography is used in combination with data from these sensors to determine the hygrothermal performance of all areas of enclosure assemblies. This paper will discuss the methodology of DBZ wall commissioning and some of the issues related to detection of improper wall assembly performance.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.739
Threshold uncertainty score0.789

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 head0.013
GPT teacher head0.206
Teacher spread0.193 · 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
Published2002
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicHygrothermal properties of building materialsFrench-language works237,207