Field Investigation of the Effect of Operational Speed and Lateral Wheel Wander on Flexible Pavement Mechanistic Responses
Bibliographic record
Abstract
Pavement design is evolving from the experimental American Association of State Highway and Transportation (AASHTO) Pavement Design Guide to the Mechanistic-Empirical Pavement Design Guide (MEPDG) (AASHTOWare Pavement ME Design). In the latter method, the predicted mechanistic responses of the pavement structure (strains and deflections) are empirically correlated to field-observed distresses. Therefore, mechanistic response data from instrumented, full-scale test road facilities are essential for the validation and further development of the MEPDG models. The University of Alberta’s Integrated Road Research Facility (IRRF) includes an extensively instrumented test road, with a variety of asphalt strain gauges and earth pressure cells in the unbound layers to capture the flexible pavements’ mechanistic responses to dynamic traffic loading. This paper focuses on investigating the effect of operational speed and lateral wheel wander on longitudinal tensile and vertical compressive strain measurements at the bottom of the Hot Mix Asphalt (HMA) layer (el and ec) and compressive stress measurements in the granular base course (GBC) and subgrade (sc). During a field experiment at the IRRF, a test truck with predetermined axle loads was driven at four different speeds and two symmetric lateral offsets with respect to the outer wheelpath. Longer load durations (lower loading frequency) were observed at lower truck speeds in the HMA and unbound layers. Also, the magnitude of el and ec increased when speed decreased. Similarly, higher vehicle speed resulted in less sc within the GBC and subgrade. Sensitivity of fatigue cracking and rutting models in the MEPDG to operational speed was investigated in a sensitivity analysis. To do so, an MEPDG-simulation of the test section was developed using the backcalculated moduli of each layer obtained from Falling Weight Deflectometer (FWD) test performed at the IRRF. The rate of both alligator cracking and rutting was found to decrease at operational speed of 60 km/hr. It was also found that the MEPDG underestimates the effect of speed on the predicted fatigue cracking and rutting.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.000 | 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".