Steel Culvert Investigation from Field Testing to Design Equations
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
This paper summarizes a recently completed investigation of corrugated steel structures. The project commenced with field testing of two corrugated steel arch culverts in the city of Kingston, Canada, using optical fibers to provide detailed measurements to permit assessment of thrust and moment distributions under static and dynamic truck loading. The detailed responses provided new understanding of the structural behavior, including the critical nature of the front axle of the truck, when normal practice would focus on the tandem axles at the rear of the truck. The study also permitted assessment of the impacts of vehicle speed and the asphalt pavement. Next, improved orthotropic properties were developed considering the arc and tangent geometries of four common corrugation plate sizes, revealing the shortcomings of traditional sinusoidal approximations. Finite element modeling was then used to undertake an extensive parametric investigation to develop new design equations providing improved moment and thrust estimates for single and tandem axle load patterns, at a range of burial depths and corrugation geometries. The paper provides a summary of this research as well as provides insights gained from the investigation.
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