Numerical Investigation of the Bedding Factor of Concrete Pipes under Deep Soil Fill
Bibliographic record
Abstract
The Indirect Design Method is often used to design buried concrete pipes.This method is based on linking the required strength of the buried concrete pipe to the laboratory strength of the pipe by using an empirical factor called the bedding factor.Hence, the bedding factor is key in the Indirect Design Method.However, a thorough review of the literature showed that the bedding factor has not received signification attention in previous studies.This study therefore reports the preliminary results of ongoing research investigating the bedding factors and the behaviour of concrete pipes under deep soil fill using validated numerical modelling.The results showed that the AASHTO bedding factors for type 2, type 3 and type 4 AASHTO installations are conservative, while the bedding factor is unsafe for pipes buried in type 1 installation with a backfill height of less than 2.4 m.Comparing the results of the present study with the British Standard bedding factors showed that these factors are overly conservative.Hence, both design standards should be updated to enhance the robustness of the design approaches and make the design of concrete pipes more economic.
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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 | 0.001 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".