Assessment of Some Design Procedures of Foundation Engineering
Bibliographic record
Abstract
Foundation failure is often attributed to unknown site or loading conditions. These failures can be categorized as being the result of inadequate site investigation, design procedure and/or construction techniques. In foundation design, engineers may introduce simplifying assumptions, which may not exist at best, overlooking loading conditions and ignoring certain characteristics of the soil. In additional, due to lack of rational solutions in foundation engineering, designers may use empirical methods given in textbooks and design manuals. Often, these methods have design limitations and range of validity, which are hardly met. The outcome from these categories is manifested in the form of excessive settlement of the foundation elements, reduction of bearing capacity and perhaps catastrophic disasters and loss of lives. While difficulties during site investigation and construction of foundations can be easily overcome by following adequate procedure and construction norms, design procedure remains undefined in some areas. In this paper, some documented design procedures will be examined against the authors’ research results and collected data
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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) | 0.001 | 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 | 0.001 |
| 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".