Finite Element Analysis of Profiled High Density Polyethylene Stormwater Arches Under Live Loading
Bibliographic record
Abstract
The physical response of a profiled high-density polyethylene stormwater retention arch structure under shallow burial subjected to design truck loading was investigated, with an emphasis on finite element modelling of the soil-structure system. First, three-dimensional, geometric and materially nonlinear finite element analysis was used to model a physical test on an arch specimen prior to burial with the goal to develop and validate a structural model capable of simulating the response of the arch structure up to and past its ultimate limit state. The explicit three-dimensional geometry of the tested arch specimen was measured in detail using a laser scanner, and tensile index tests were carried out to calibrate a viscoplastic constitutive model. The analysis was capable of replicating the measured load-displacement response of the structure up to and past its ultimate limit state governed by buckling. Second, analysis of a previously conducted full-scale physical test of a single arch structure buried with 460 mm cover above the crown and subjected to cyclic design truck loading was carried out. Displacement measured in the first load cycle was notably higher than in subsequent load steps as the arch worked its way into position, which included the densification of the initially uncompacted gravel backfill and soil shear failure underneath the wheel pad. Time-dependent behaviour was noted under constant load holds, particularly during the first load cycle. The validated structural model was used in conjunction with a nonlinear, elastic-plastic soil model to explicitly model the laboratory setup and testing. The model was able to capture the behaviour of cyclic loading, including apparent stiffening of the soil-structure system after the first load cycle. It matched displacements and deformed shape at the start of the nominal design wheel load (71.2 kN) for all load cycles but was unable to match the measured results during constant load holds and at the larger partially factored design wheel load (90.3 kN).
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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) | 0.001 | 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 | 0.000 |
| 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".