Evaluation of the CHBDC-simplified method of analysis for transverse wood deck on wood girder bridges
Bibliographic record
Abstract
Between the 2006 and 2014 editions of CSA S6, significant changes were made to the simplified method of analysis (SMA) for all girder bridges, including transverse wood deck on wood girder bridges. The load-distribution predictions became more conservative, resulting in both load-limit posting of existing bridges and increased cost for bridge construction, repair, and replacement. In this paper, we examine the load distribution for the timber bridge inventory in NS. Finite-element models are developed and rigorously validated; a parametric study, consisting of 204 bridges, is performed; current SMA equations are evaluated; and new equations for the truck-load distribution width are derived. The new equations bring SMA predictions of the longitudinal bending moment for transverse wood deck on wood girder bridges into line with currently expected safety-index levels. Corrected bias factors and coefficients of variation for live-load analysis/evaluation in conjunction with CSA S6 are presented.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".