Piles embedded in p-y sand below water table subjected to static loading-sensitivity investigations.
Bibliographic record
Abstract
Laterally loaded pile is a complex system involving pile-soil interaction which is dependent on a number of parameters. The design process of laterally loaded pile is lengthy and at times obscure. This study aims at visualizing this process and relating performance of the pile to the design variables through sensitivity analysis. Short as well as long single piles, both hinged and fixed, embedded in sand, under different range of lateral static loads have been studied. Pile groups have also been studied. The behaviour of the pile is modeled by means of one dimensional beam element. The adjacent soil is simulated by means of p-y model developed by Cox, Reese and Grubbs (1974). The maximum kinematic quantities of the pile-soil system being of crucial importance according to the serviceability limit state design criteria are subjected to sensitivity analysis assessment. The performance functional that involves the maximum generalized deformations is formulated based of the virtual work principle. (Abstract shortened by UMI.)Dept. of Civil and Environmental Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2004 .A24. Source: Masters Abstracts International, Volume: 43-03, page: 0912. Adviser: B. B. Budkowska. Thesis (M.A.Sc.)--University of Windsor (Canada), 2004.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".