Study on the Analysis of Mat Foundations Using a Different Approach
Bibliographic record
Abstract
Mat foundations, in general, are reinforced concrete slabs to support and transfer structural load to the underlying soil, and are well suited to reduce differential settlement. Finite element (FE) method is widely used in the analysis, however the approach to solve and analyze the problem is of prime importance considering the engineering significance and cost involved in the structure. The main objective of this study was to analyze an idealized mat foundation soil system with different approach, which include the Mat foundation analyzed as an inverted flat slab by flat plate analysis and finite element analysis. The moment in longitudinal and transverse direction was determined from the analysis performed for models with two different KS of 4250kN/m2/m and 7250kN/m2/m. The results from flat plate analysis were similar to FE analysis, where direct design method overestimate the moment but certainly gives a more safe design when compared with the FE methods.
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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".