Optimized Design of Through-Pile Tieback Anchor Connections by Automated Nonlinear Finite Element Analysis
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Bibliographic record
Abstract
This paper investigates failure mechanisms and capacities of through-pile tieback anchor connections through automated parametric finite element analyses. Various scenarios of steel H-section soldier piles with steel pipes welded through the webs were examined. Employing an automated finite element analysis process via an in-house Python code in ABAQUS, the study evaluated failure mechanisms, bending, and shear capacity of different pairs of standard steel H-sections and steel pipes. The analyses considered both material and geometric nonlinearities using a degenerated continuum shell finite element. The research led to the development of a computer-aided design tool for optimizing pile and pipe pairs under different anchor axial force demands. This study contributes to a novel design procedure for through-pile tieback anchor connections which provides efficient design solutions.
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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 | 0.002 |
| 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) | 0.001 | 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 it