Design Of Building In Area Susceptible To Slide Failure
Bibliographic record
Abstract
There has been a significant amount of damage and destruction caused by geotechnical failures in Ecuador.To determine the terrain's characteristics and design an adequate foundation, it is necessary to conduct a soil survey before starting a construction project.During soil exploration and characterization, standard penetration tests (SPT) were performed to identify the depth of firm soil.An unconsolidated triaxial (U-U) test was also performed to evaluate the shear strength of fine and coarse soils.In addition, the Unified Soil Classification System (USCS) was used to describe the texture and particle size in the study area.Taking into account a building with three floors and occupational use as family housing, it was, therefore, necessary to determine the dead, live, and seismic loads in accordance with the NEC-15 SD-DS (Ecuadorian Construction Standard, Seismic Loads and Earthquake Resistant Design), the ETABS software was used, which allowed determining the moments and maximum loads, which made it possible to select an appropriate type of foundation.After considering the results of the tests, aspects of functionality and economy, it was concluded that the surface foundation is the most appropriate for this type of building and the characteristics of the study area.The objective of this applied research is to gather the necessary knowledge to provide a solution to the problem of soil instability faced by owners in the Punzara sector, Urbanization AGEUL, in the southwestern area of Loja.Providing an adequate foundation that can withstand any geotechnical challenges present in the area is key to guaranteeing the safety and stability of buildings in the region.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".