Dynamic Loading Effect Testing of a Modular Truss Bridge: Procedures and Resultant Data Set
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
Experimental bridge testing often produces large data sets that may have applicability to many analysis goals within bridge engineering. To ensure the persistence of these records for future analysis, it is essential to properly collect, organize, and define data. A field-testing program was developed to capture the dynamic loading response of a simply supported, modular-construction bridge to medium and very heavy military vehicle loads that included detailed instrumentation layout and nomenclature assignments, deck surface condition simulators, and iterative tracked and wheeled vehicle testing plans. The result was a complete data set that includes adequate information to achieve various analysis objectives. This data set, and the process through which it was gathered, have the potential to increase the knowledge base related to the behavior of modular truss bridges, dynamic bridge effects in civilian and military contexts, and may generate results that could significantly improve mobility for select military vehicle types.
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 | 0.002 |
| 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