Nonlinear Behaviour of Laterally Loaded Long Piles Penetrating Soft Clay Below Water Table Subjected to Cyclic Loading—Sensitivity Analysis Part II: Numerical Investigation
Bibliographic record
Abstract
This paper is Part II of our previous paper, which contained a theoretical basis of a sensitivity analysis for numerical investigations. This part comprises the results of sensitivities of generalized maximum deflections of long piles due to the changes of the design variables vector. The long isolated pile is embedded in soft clay below the water table. The pile is simulated as a one-dimensional beam element, while the soil is described by a p-y relationship. The pile bending stiffness and the soil parameters involved in a p-y relationship are taken as the design variables. The variables in discrete-fashion lateral forces are applied to the top of the pile-soil system. The nonlinear behaviour of the adjoint system is demonstrated. The sensitivity integrands are determined and discussed in detail.
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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".