Study of Simple Prediction Method for Road Traffic Vibration from viaducts
Bibliographic record
Abstract
On Prediction of Road Traffic Vibration of INCE/J Technical Subcommittees, we are studying the creation of prediction formulas for vibration from embankments and cuts and vibration from bridges. This paper presents the concept of a simplified method for predicting road traffic vibration from viaducts. When large vehicle runs on viaduct, vibration occurs in the floor slab and propagates from the piers and foundation to the ground. Here, the reference waveform at the bottom of the pier is used as the reference point unit pattern, and the vibration propagates from the bottom of each pier on the plane to the ground surface, and a method of calculating the combined value at the prediction point is considered, and the establishment of a prediction method is examined. bottom. In addition, we will report on the results of an attempt to predict the vibration propagation situation to the surroundings for a large vehicle test run and compare it with the actual measurement value. In addition, we examined the calculation procedure assuming traffic flow conditions in this model.
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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 | 0.000 | 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) | 0.000 | 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".