Seismic Performance Evaluation of a 10-Story Structural Wall Building under Severe Earthquakes in Lima, 2025.
Bibliographic record
Abstract
This research aims to contribute to the study of seismic behaviour by evaluating the seismic performance of reinforced concrete wall structures through the development of a representative archetype.This archetype was elaborated based on the analysis and systematisation of ten structural plans of real buildings that share similar characteristics.The methodology followed includes the nonlinear static analysis to determine the data that will help to plot the capacity curve of the structure.This process is carried out with the Stera 3D software that provides the data of the capacity curve, then the demand curves or demand spectra are elaborated according to the indications of the vision 2000 committee.Subsequently, the structural performance point is determined through the intersection between the capacity curve and the demand curves, which makes it possible to identify the level of performance achieved.The results obtained show that the archetype analysed achieves a different performance level for each earthquake that generates a different demand curve.This approach allows a more accurate understanding of the seismic behaviour of similar buildings, providing useful tools for decision making in structural design and seismic strengthening.
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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) | 0.000 | 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) | 0.000 | 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".