Non-linear Finite Element Analysis of Slab Effects in Reinforced Concrete Structures Subjected to Earthquake Loads
Bibliographic record
Abstract
The proper application of the capacity design approach in earthquake resistant design requires a deep understanding of the behavioural characteristics of the different members comprising the structure. As well, an accurate assessment of the strengths of these members is essential. Of particular importance are the relative strengths of the beams and columns. The analytical investigation carried out in this paper was primarily focused towards assessing the effects of the floor slab on enhancing both the strength and stiffness of the supporting beams under negative (hogging) moments.For this purpose, a nonlinear finite element analysis of an exterior slab-beam-column subassembly was performed. The computer program is based on a nonlinear iterative secant stiffness formulation. Three different three-dimensional finite elements were used to model the structure. The finite element analysis performed showed significant contribution of the slab reinforcement and yielded valuable results regarding the assessment of slab contribution under negative moments when the structure is subjected to lateral earthquake type loads. The results are compared with the provisions of both the Canadian and American codes. Recommendations are given for an effective slab width for exterior connections under similar conditions.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".