Compressive Behavior of Normal Strength Concrete Column Strengthened With Reinforced Ultra-High-Performance Concrete
Bibliographic record
Abstract
Ultra-high-performance concrete (UHPC) and normal strength concrete (NSC) are concrete materials with high compatibility characteristics.This paper presents the experimental and numerical study on the uniaxial compression behavior of NSC columns strengthened using UHPC.The main idea of the proposed strengthening technique is to optimize the UHPC and enhance the ultimate capacity, impermeability, and crack resistance of the damaged column.Fourteen (14) NSC columns strengthened with UHPC were tested.The influence of longitudinal groove geometry and volumetric ratio of shear reinforcement on the failure mode, ultimate capacity, displacement, initial stiffness, ductility index, and ultimate strain of the composite column was investigated.Increasing the groove size will increase the axial resistance and improve the ductility of the strengthened NSC column.Decreasing the shear reinforcement ratio does not affect the axial strength of the column.The developed FEM can accurately simulate the behavior of the column strengthened with UHPC using the proposed technique.
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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 | 0.000 | 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 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".