Damaged plasticity modelling of concrete in finite element analysis of reinforced concrete slabs
Bibliographic record
Abstract
Two interior slab-column connections, previously tested, are analysed using 3D nonlinear finite element methods. These slabs were tested under vertical monotonically increasing imposed displacement through the column till failure. One slab specimen was without shear reinforcement that failed in punching shear, while the other slab had punching shear reinforcement and failed in flexure. Both specimens are analysed using the concrete damaged plasticity model offered in ABAQUS. Concrete damaged plasticity model is employed with the fictitious crack model based on the fracture energy; where different failure mechanisms are predicted for tension and compression. Damage can be introduced in the model and it is defined separate in compression and tension. The model can be also equipped with viscoplastic regularization that provides additional ductility in the structure and helps to overcome convergence problems that have been created by cracking and strain localization that relies on the smeared crack approach. Parametric investigation based on the material and plasticity parameters is performed for the specimen without shear reinforcement. All numerical results are compared to the test results in terms of loaddeflection responses and crack patterns. Finite element analysis results are in good agreement with the experimental results and can give an insight into the failure mechanisms and crack developments of each slab. The predictive capability of the calibrated models confirms their ability for parametric studies examining the punching shear behaviour of reinforced concrete slabs with and without shear reinforcement.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".