Monitoring Structural Response of a Wooden Light-Frame Industrial Shed Building to Environmental Loads
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Light-frame wooden buildings are highly complex and redundant structural systems that behave as assemblies of folded and interlocked rib-stiffened plate systems. This paper describes structural monitoring experiments on one such structure. A single storey industrial shed building located in Québec City, Canada, was monitored to determine its displacement response to wind and snow loads. Displacements were correlated with real-time estimates of these environmental loads. Observations encompassed deformations of a continuous strip of the wall and roof. Artificial (static) distributed and point loads were also applied to the structure to enhance understanding of how structural components interact. Limited finite element analysis was conducted for the rib stiffened roof system and the overall assembly, with agreement between predicted deformations and those observed under environmental or artificial loads. Measured response under snow loads confirmed theoretical expectations that composite action and load sharing are important mechanisms for light-frame buildings. The general trends for the main wind effects with steady wind direction were set, but simplified pressure coefficients had to be used for this study. A more detailed description of the wind load is needed, which can be obtained with measurements of the pressure distribution on the envelope of the building in full scale, supplemented with a wind-tunnel study. This project proved the feasibility of real-time monitoring and was the precursor for a larger monitoring project currently in progress at the University of New Brunswick.
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.
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 it