Influence of joint strength variability in timber-frame structures: propagation of uncertainty through shear wall finite element models under seismic loading
Bibliographic record
Abstract
Results of tests performed on joints used in timber-frame construction allow characterizing the variability of their mechanical behavior, which differs substantially from one joint to the next. The parameters of a constitutive model of the joints and their variability are identified. Finite element (FE) models of a shear wall and a timber-frame house are used in nonlinear dynamic calculations to study the propagation of uncertainty through the structure. It demonstrates that for a single-story 6 m × 6 m house, the variations in mechanical strength of each connection do not significantly affect the structural behavior of the house. Both the numerical and experimental results (on a shaking table) are quite similar, proving the model accuracy, its ability to study the propagation of uncertainty and its relevance for future development (non-regular, multi-story buildings…). Moreover, a sensitivity analysis performed on a FE wall model under uncertain seismic loads reveals the importance of earthquake motion modeling.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 source (direct Gemma or distilled Codex), 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".