Truck Load Distribution Factors in Straight and Skewed Precast Shear-connected Adjacent Voided Slab Beam Bridges
Bibliographic record
Abstract
Prefabricated shear-connected voided-slab beam bridges are constructed with shear keys between precast slabs to allow them to share the applied truck load by providing transverse shear continuity along with slab torsional rigidity. Per the 2019 Canadian Highway Bridge Design Code, a simplified method of analysis of these bridges under truck loads is yet unavailable. So, a parametric study, using the grillage method of analysis, was conducted to obtain the fraction of truck load carried by each precast slab as affected by bridge span and width, truck load conditions, skew angle, and support flexibility. Results were presented in the form of moment and shear distribution factors for straight bridges and a skew correction factor for skew bridges and then compared to those found in AASHTO-LRFD Bridge Design Specifications. Based on the results, a set of empirical equations were developed for the fraction of truck loading carried by the precast slab for moment and shear calculations for straight bridges along with recommendation for the skew correction factors for skewed bridges.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".