Damage States and Seismic Performance Levels of a Three-Story Confined Masonry Structure, Lima, Peru
Bibliographic record
Abstract
This research addresses the issue of self-construction in the district of Lurigancho-Chosica, using the Asociación Pro Vivienda Paz y Desarrollo San Pedro y San Pablo as a case study.In this area, structural deficiencies are identified due to the use of nonstandard materials and the absence of technical design.As a solution, the design of a three-story confined masonry dwelling is proposed, complying with the Peruvian National Building Code (RNE).Field data was collected from 15 representative homes using data collection forms to identify the number of projected floors and typical lot dimensions (240 m²).Based on this, a three-level confined masonry dwelling was designed, applying habitability and structural safety criteria according to standards A.020, E.030, and E.070 of the RNE.The structural design was carried out through a linear static analysis using ETABS software, determining dimensions and reinforcement of main elements.Then, the nonlinear behavior of the structure was evaluated using STERA 3D software, applying a nonlinear timehistory dynamic analysis with seismic records scaled to the design spectrum (Standard E.030) using a seismic reduction factor R = 1.From the obtained interstory drifts, structural damage levels were classified according to the criteria of Zavala et al. [1], allowing the estimation of the dwelling's seismic vulnerability.Finally, structural plans were developed.The proposed design complies with current regulations and demonstrates good structural performance under severe earthquakes, representing a safe and technically reliable solution to the deficiencies observed in the self-construction context of the study area.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".