Total expected cost design method for reinforced concrete members based on current Canadian code provisions
Bibliographic record
Abstract
Reliability-based provisions for the design and evaluation of reinforced concrete members provided in the National building code of Canada and Canadian standard A23.3 are integrated with a corrosion deterioration model and a life-cycle cost analysis. The resulting model offers a simplified total expected cost design method that can be readily implemented by practicing engineers. The model is illustrated in the context of a 400 mm deep, 4.0 m long steel reinforced concrete cantilever slab that serves as a balcony adjacent to a party room of a condominium building. Nine design options for the slab were assessed. The near-surface chloride concentration and the oxygen concentration in the pore solution are the only two parameters that influence the selection of the balcony slab design. The design option with moderate concrete compressive strength and the largest clear cover considered was shown to be the most cost effective design regardless of the analysis method considered. Other model applications are also briefly presented.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".