Structural performance of laminated FRP box girder bridge deck compared to slab on prestressed concrete girder bridge
Bibliographic record
Abstract
A promising advance in the use of advanced composites in civil-structures is the development of a bridge superstructure with all-advanced composite elements. However, one of the critical obstacles to extensive use of advanced composites in construction is the lack of simplified and practical design approaches, specifications or guidelines. In this paper, an iterative performance based multi-scale analysis and design approach for all-advanced composite bridge superstructure is proposed. The bridge superstructure is formed from laminated FRP box girder and chopped FRP top surface layer or 'deck slab'. Several laminate designs are examined and the performance of the most efficient material and structural designs of the proposed bridge are compared to a traditional slab on prestressed concrete bridge. The results show that the proposed procedure leads to an efficient use of the materials with higher structural performance and significantly lower superstructure weight. However, further research is needed to investigate manufacturing and construction procedures and long term performance.
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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 | 0.000 |
| 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) | 0.002 | 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".