Numerical Study of Multi-Lane Surface Loading Effects on Corrugated Steel Culverts Buried in Shallow Cover Depth
Bibliographic record
Abstract
Mechanical response of corrugated steel culverts buried in shallow cover depth and subjected to service load conditions has been studied using finite element analysis (FEM) and the Canadian Highway Bridge Design Code (CHBDC). The nature of the surface load critically influences the internal stresses and deformations and finite element analyses have been conducted to investigate the internal forces due to backfill and CL-625 Truckload for wheel and axle loading for 1-, 2-, and 3-lane configurations. The results of the numerical simulations are compared with the recommended internal forces in the CHBDC. The results indicate that the culvert experiences the maximum values of these responses at the crown. In the numerical simulation, multi-lane loading increases the thrust and bending moment magnitude, but this effect is not considered in the bending moment equations used based on the Canadian code. The results of normalized thrust indicate the considered increment in thrust responses due to the multi-lane loading is consistent and conservative relative to the FEM results.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".