Assessing and Mitigating Seismic Risk for a Hospital Structure in Zaruma, Ecuador: A Structural and Regulatory Evaluation
Bibliographic record
Abstract
This research, conducted in Zaruma, southern Ecuador, seeks to evaluate the seismic vulnerability and performance level of the Humberto Molina Hospital's reinforced concrete buildings.The study employs an examination of national and international seismic codes for rehabilitation, along with the implementation of recommended techniques.Structural characteristics of the buildings were identified through auscultation, surveys of reinforcing steel, and the extraction of concrete cores.The amassed data, coupled with a seismic hazard analysis of the site, facilitated a structural assessment of the blocks, conducted in accordance with national (MIDUVI) and international (ASCE/SEI) codes.The Federal Emergency Management Agency (FEMA) subsequently proposed rehabilitation alternatives for each block.Due to the importance of the hospital's functions, data collection was limited to blocks B3 and B4.The structural system, composed of moment-resisting concrete frames, exhibits potential vulnerabilities due to knocking (collision) and torsion, attributed to its irregular form.Structural evaluation revealed that block B4 adheres to the drift limits stipulated by the ASCE 41-13 standard (below 2%), while block B3 exceeds these limits (2.05-2.80%).Recommended rehabilitation strategies for B3 encompass mass reduction (removal of the second floor, representing a dead load of 700kg/m 2 and a live load of 200kg/m 2 ), and the introduction of additional rigidity and strength (extension of structural elements).For block B4, it is suggested that each sub-block be made independent.These interventions aim to facilitate the hospital's reopening, thereby benefiting the Zaruma Mining District community.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".