Finite element investigation of ground response during diaphragm wall panel installation
Bibliographic record
Abstract
The construction of diaphragm wall panels inevitably changes the initial stress condition and causes movements in the surrounding soil mass. The ground response is affected by a number of aspects including the ground condition and construction procedure, thus creating complexities and uncertainties to explain the field observation and predict the potential influence on adjacent assets. This paper analyzes observed data from field and model tests, and identifies important aspects which may affect the ground response during the diaphragm wall panel installation process. These aspects mainly include (i) construction details in the trench excavation, (ii) concreting characteristics, (iii) initial ground conditions, and (iv) the panel width. Finite element analyses are then conducted to understand their impact on the ground response in a systematic manner. The analysis procedure follows some typical test programmes reported in the literature, to reproduce the observed phenomenon and explain the mechanisms more consistently. This study demonstrates some key issues that should be considered carefully in practice to mitigate risks in the diaphragm wall installation process.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".