Simultaneous estimation of hygrothermal properties of a prefabricated lightweight wall using one-year on-site measurements to solve inverse problems
Bibliographic record
Abstract
This study reports on using inverse analysis to experimentally estimate the in situ hygrothermal properties of a prefabricated lightweight building envelope. On-site temperature and relative humidity data were measured for one year in the walls of an occupied detached house. Field measurements were then used to solve inverse problems for identifying effective specific heat, thermal conductivity, vapor resistance factor, as well as heat and moisture transfer coefficients. Fully coupled heat and moisture phenomena were analyzed. The importance of estimating hygrothermal properties for reliable model calibration in hygrothermal performance assessment was addressed. For this purpose, the annual heat and moisture fluxes through the interior wall surface were calculated using the effective properties estimated in this study and reference values from the literature. The greatest deviations were found in cold periods for the thermal response and warm periods for the hygric response. Literature benchmarks were shown to potentially overestimate the annual heat loss by 30 % and the annual moisture transport by 24 %. The present study shows how in situ hygrothermal characterization enables more accurate predictions of the hygrothermal behavior of wall assemblies.
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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 | 0.000 | 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 | 0.000 |
| 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".