Numerical investigation on the structural performance of post-tensioned precast concrete two-way slab-column connections
Bibliographic record
Abstract
Nonlinear finite element analyses of post-tensioned modular precast slab-column connections under gravity and lateral loading scenarios were conducted to investigate their structural performance for building construction applications. The simulations were conducted using the commercial finite element software program ABAQUS and assessments were made by estimating connection failure modes, damage development and cracking patterns, mechanisms contributing to connection stiffness degradation, deformability, and load resistance. The influence of prestress loss on the performance of the friction-based connections was investigated under gravity loading and different friction coefficients were employed to examine the sensitivity of the connection performance under reversed cyclic lateral loading to potentially impactful modelling assumptions. Results obtained from the simulations showed that interfacial slip of the post-tensioned friction-based connections did not control connection capacity. The findings also showed that the flexural resistance of modular precast slab elements controlled gravity load resistance, and load resistance of the precast slab-column connections was controlled by the grout crushing at the interface between the precast slabs and columns.
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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 | 0.001 | 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".