Finite Element Analysis to Assess Structural Impacts of a Ground Anchor Retaining Wall on an Existing Water Pipeline
Bibliographic record
Abstract
Due to the rapid urbanization near existing highways, right-of-way projects are increasingly congested with underground utilities, which can significantly impact geotechnical engineering solutions and construction activities. The identification and assessment of these existing utilities is imperative to mitigate potential construction-related impacts. Numerical methods have been increasingly adopted to facilitate modeling the response of underground utilities and to evaluate the potential adverse effects associated with the construction of nearby geotechnical systems. In this study, two-dimensional (2D) and three-dimensional (3D) finite element models were developed to investigate an existing prestressed concrete water distribution pipeline due to the proposed construction of overlying sub-horizontal ground anchor (SHGA) and cast-in-place (CIP) retaining walls designed to support a highway lane expansion project. Numerical simulations were modeled in a staged-construction approach to identify the in situ and post-construction loading conditions of the subject pipeline, with the results summarized in terms of imposed displacements, stresses, and bending moments. This investigation indicates that the water distribution pipeline will be subject to minimal deformations and stresses due to the construction of the adjacent SHGA and CIP walls.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".