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Record W2956868211 · doi:10.14305/ibpc.2018.be-7.05

Monitoring and modelling of a prefabricated exterior envelope retrofit

2018· article· en· W2956868211 on OpenAlexafffundabout
Sébastien Brideau, Mark Carver, Anil Parekh, Brock Conley

Bibliographic record

VenueHealthy, Intelligent and Resilient Buildings and Urban Environments · 2018
Typearticle
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsNatural Resources Canada
FundersNatural Resources Canada
KeywordsRetrofittingBuilding envelopeFacadeEnvelope (radar)Cladding (metalworking)Frame (networking)Structural engineeringEngineeringArchitectural engineeringCivil engineeringComputer scienceThermalMechanical engineeringMaterials scienceAerospace engineeringPhysicsComposite material

Abstract

fetched live from OpenAlex

As part of a larger project to develop prefabricated technologies for retrofitting building envelopes of Canadian homes, a small building was retrofitted and instrumented. This prefabricated retrofit method is intended to be applied directly over existing cladding. Two prototype retrofit wall systems were installed on the building; a nailbase panel, and a wood frame panel. The existing wall had an RSI value of 1.80 m2K/W (including film coefficients) and the resulting retrofitted walls reached values of 6.40 m2K/W and 5.72 m2K/W. With the addition of a new air barrier, blower door tests have shown a large reduction in infiltration from 7.62 ACH to 0.82 ACH at 50 Pa. This paper discusses the approach taken, the construction of the prefabricated panels, preliminary in-situ RSI measurements, and modelling of thermal bridging and energy savings for the pilot project.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score0.637

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 head0.019
GPT teacher head0.221
Teacher spread0.202 · 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 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

Citations3
Published2018
Admission routes3
Has abstractyes

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