Assessing Durability of Historic Masonry Walls with Calibrated Energy Models and Hygrothermal Modeling
Why this work is in the frame
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Bibliographic record
Abstract
This article presents a methodology for calibrating an energy model to hourly measured temperature data with the goal assessing durability of a mass masonry tower in its present state and projecting the impact, that plausible retrofit scenarios may have on durability. The case study for this project is a load-bearing masonry structure constructed in 1867 which has been suffering from chronic moisture-related deterioration for much of its existence. The tower was instrumented to record relative humidity and temperature beginning in September 2017. Energy modeling software in combination with an optimization program was used to develop a calibrated model that could predict interior temperatures and relative humidity. Using the calibrated energy model, hygrothermal simulations were performed to see how changes to the interior ambient conditions affected the wall. The number of freeze cycles and moisture content were projected throughout the cross-section of the masonry compared to baseline conditions.
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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 | 0.000 | 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 | 0.001 |
| 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