A Comparison of 1D and 2D Hygrothermal Simulation Results for the Evaluation of the Moisture Performance of Wood Frame Wall Assemblies
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Bibliographic record
Abstract
The moisture behavior of wood-frame wall assemblies is typically assessed using hygrothermal simulations, which can be conducted in either 1D or 2D models, each, respectively, incorporating varying levels of detail regarding the simulated subjects. The 2D simulation offers a more detailed representation of real-world scenarios. Consequently, discrepancies often exist between the results of 1D and 2D simulations in many scenarios. Meanwhile, the 2D simulation demands significantly more computing resources, which may impact the feasibility of certain analyses. For instance, investigating the effects of climate change on building envelope moisture performance includes considering numerous variables such as climate scenarios, wall assembly types, configuration variations, climate data uncertainties, material property uncertainties, among others. Previous attempts have shown that using 2D simulations for such analyses can be extremely time-consuming. Therefore, in this study, the discrepancies between the 1D and 2D simulations regarding the moisture performance output for two types of wood frame wall assemblies will be investigated. The comparison will be conducted for the simulation using climate data from the same time period and from different time periods (historical and future). The results have shown that with specific design considerations in the 1D simulation, the moisture performance obtained from the 1D simulation can match those obtained from the 2D simulation.
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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 | 0.001 | 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 it