Benchmarking 3D thermal model against field measurement on the thermal response of an insulating concrete form (ICF) wall in cold climate
Bibliographic record
Abstract
Field monitoring of the dynamic heat transmission characteristics through Insulating ConcreteForm (ICF) wall assemblies was undertaken in 2009-2010 at National Research Council Canada's Institute for Research in Construction's (NRC-IRC) Field Exposure of Walls Facility (FEWF). The main objective of this research is to evaluate the dynamic heat transmission characteristics through two mid-scale ICF wall assemblies in FEWF for a one year cycle of exposure to outdoor natural weathering conditions. The scope of work included the design of the experiments, installation of test specimens, commissioning of the instrumentation, operation of the test facility, monitoring, and data collection & analysis. The present NRC-IRC's hygrothermal model, called hygIRC-C, was used to interpret the readings of the instrumentations and to improve the experiment design by repositioning these instrumentations at critical locations. Subsequently, the present model was benchmarked against the measured data. Results showed that the predictions of the present model are in good agreement with experimental data. This research is on-going. Future work will be presented in later publications where the present model will be used to conduct numerical simulations in order to investigate the transient thermal response of full-scale ICF wall assemblies subjected to different Canadian climates.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".