Nonlinear deformations of laterally loaded piles embedded in stiff clay located below the water table: Sensitivity analysis.
Bibliographic record
Abstract
Sensitivity analysis is one of the methods predicting how sensitive a soil-pile interactive system will behave under a lateral loading, whether a horizontal force or a bending moment, due to the changes of the design variables. For a civil engineer, it is important to know what is the deformation at the top of the pile foundation to be considered for the upper structure. Therefore, the sensitivity analysis in this thesis focuses on the changes of the displacement and the angle of flexural rotation at the top of the pile due to the changes of the design variables which are the stiffness of the pile (EI), the cohesion of the soil (c), the modulus of subgrade reaction (k), the effective unit weight (gamma'), the strain at which 50% soil strength is mobilized (epsilon50 ) and the width of the pile (b). Sensitivity analysis of laterally loaded single piles and pile groups embedded in stiff clay located below the water table was conducted by means of an adjoint method. The pile is modelled as a one dimensional beam element. The surrounding stiff clay is modelled by means of a p-y relationship proposed by Reese, Cox, and Koop developed in 1975. The sensitivity analysis results consist of the distributions of the sensitivity integrands along the pile depth and the assessment of the sensitivity integrands for a collection of single isolated piles as well as pile groups that are subjected to horizontal forces as well as bending moments in a discrete manner. In Chapter VI of this thesis, numerical investigations were carried out for a better explanation. The soil-pile parameters affecting the structural response were determined and ranked from the most to the least effect on the state variables (the pile deformations at top).* *This dissertation is a compound document (contains both a paper copy and a CD as part of the dissertation). The CD requires the following system requirements: Microsoft Office.Dept. of Civil and Environmental Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2003 .S89. Source: Masters Abstracts International, Volume: 42-03, page: 1002. Thesis (M.A.Sc.)--University of Windsor (Canada), 2003.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 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 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".