Ultra-high-performance concrete decked I-beam for medium- and long-span bridges
Bibliographic record
Abstract
Ultra-high-performance concrete (UHPC) is an excellent material for bridge construction due to its superior workability, durability, and mechanical properties. This paper presents the development of an innovative UHPC superstructure system for medium- and long-span bridges. The new system consists of decked I-beams (DIBs) designed to optimize superstructure weight, speed of construction, structural efficiency, and durability. A nonproprietary UHPC mixture was developed, and a special form was manufactured to produce DIBs with ribbed slabs. Several material/structural tests were conducted on small-scale specimens and two full-scale specimens to evaluate flexural strength and punching shear strength of the ribbed deck slab as well as load distribution in the DIB flanges. The challenges associated with the production of two full-scale specimens using the new nonproprietary UHPC mixture and DIB forms are discussed. Test results indicated the adequacy of the developed system when compared to the demand of an example bridge and the predicted capacity according to AASHTO UHPC Guide Specifications and PCI Design Guide.
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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 | 0.001 | 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) | 0.001 | 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".