Accelerated Bridge Construction using Ceramic Concrete Slabs
Bibliographic record
Abstract
Recent adoption of Accelerated Bridge Construction approaches have typically focussed on intensive pre- fabrication of reinforced concrete components using traditional construction materials and techniques, later joining the components in place after erection. To further optimize this construction approach, there exists a strong need to use alternative construction materials that can both simplify and enhance the efficiency of the pre-fabrication and joining processes. Phosphate cement binders used in ceramic concrete have long been recognized for their rapid strength gain, excellent dimensional stability and superior ability to chemically bond across construction cold joints compared to concretes produced with Ordinary Portland Cement binders. To this aim, laboratory studies were completed to examine the feasibility of utilizing ceramic concretes produced with phosphate cement binders for full- and partial-depth precast bridge deck slab applications. Six slab strips were fabricated and tested with similar overall dimensions but which varied according to their layered slab composition and the fabrication techniques. Specimens had cross-section dimensions of 200 x 150 mm high and were tested in 4-point bending over a span of 1800 mm. Compressive strengths of the ceramic concrete ranged from 23 to 43 MPa. Reinforcement included conventional deformed steel bars and, in some cases, glass textile fabrics near the tension face intended to better control surface cracking. The primary interest in the test program was to study the stiffness, strength and cracking behaviour of the slab strips. The results demonstrated that specimens cast in layers with intentional inter-layer cold joints had similar performance to those cast monolithically, but splitting cracks were observed along interfaces between fiber-reinforced and non-fiber reinforced concrete layers at higher shear stresses due to the reinforcement configuration and the multi-layer casting. Further study of the structural response of the slabs was completed using a developed analytical model that directly incorporated the mechanical properties of the material obtained through testing. The cross-section response and full-member flexural response predicted by the model were in good agreement with the test specimen results for the parameters studied. Overall, the tests confirm the viability of the proposed prefabricated ceramic concrete slabs for use as part of an Accelerated Bridge Construction system.
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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 | 0.001 | 0.001 |
| 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".