Stresses induced in a buried corrugated metal arch culvert due to backfilling compaction efforts
Bibliographic record
Abstract
• Compaction forces increased the soil stresses as expected. • The maximum compaction impact is in the backfill layer that is directly under compaction. • Culvert deformation peaking occurs when the backfill height is at crown level. • Maximum culvert internal forces are developed when the backfill height is at crown level. • The developed 3D models were able to mimic the monitored culvert performance. The use of flexible buried corrugated metal culverts (CMCs) for traffic and watercourses has recently expanded as a promising technique for shallow underground tunnelling. However, in the design of such structures it is challenging to mimic the performance of the mobilized soil-structure interaction. The backfilling process, with the use of compaction forces, can be considered the major loading mode that develops the predominant deformations and internal forces in the culvert body. Therefore, a thorough understanding of the backfilling process and its effects can contribute to improving CMC design methodology. In this study, a laboratory experiment was used to investigate a flexible buried corrugated metal open-bottom arch culvert, where the compaction impact was monitored during each backfill stage. Following the installation of the culvert in a rigid steel tank, seven sequenced backfill layers were added and compacted, until the target cover depth was reached. Culvert deformations and internal forces were recorded during each backfilling stage. Moreover, the variations in vertical soil stresses developed due to backfilling were measured at two locations: the surface of the bedding soil, and just above the culvert crown. In addition, the lateral perpendicular stresses induced at the exterior circumference of the culvert body near the midpoint of each side backfill layer were measured during backfilling. Finally, a numerical analysis using 3D finite element modelling was performed to simulate the construction sequence of the laboratory test during the backfilling process. The numerical modelling results for the culvert deformations and internal forces were then validated against the recorded measurements obtained in the laboratory experiment and a numerical procedure to simulate the induced backfilling efforts was recommended.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".