A Numerical Study on the Seismic Performance of Reinforced Concrete Shear Walls Subjected to Lateral and Axial Loads
Bibliographic record
Abstract
Reinforced concrete (RC) shear walls are commonly used as lateral load-resisting systems in construction projects.In this study, the seismic performance of slender RC shear walls was numerically investigated using the LS-DYNA simulation software.The walls are subjected to both lateral and axial loads to study the effect of axial load on seismic performance.Axial loads were applied at 0%, 10%, 20% and 30% of the wall's load-carrying capacity.The results indicate that including axial compression loads leads to a higher lateral force required to achieve a certain displacement than no axial loading.Additionally, the energy dissipation rate is related to the increase in axial compression load.The presence of axial loads reduces the pinching effect but gives rise to the P-delta effect, which could lead to earlier failure compared to a wall without axial force.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".