Analysis of energy consumption in the production of hot mix asphalt (batch mix plant)
Bibliographic record
Abstract
This paper describes tests in which influencing factors that affect energy consumption in the rotary drum were monitored. The monitored influencing factors are moisture, delays in daily production, hourly production capacity, and temperature of produced hot mix asphalt (HMA). The tests include the production of 88 079 t of HMA of continuous and discontinuous gradation on a cyclic asphalt plant in the Republic of Croatia. In 2014, 182 production terms were monitored (155 observed), whereas the moisture content was tested using the same number of input mineral mixture samples. The temperature of the produced asphalt mixture was measured using approximately 67 753 samples during the entire production period. Delays in work and hourly production capacity were measured during production by recording the duration of working time and delays. The final result of this study is the creation of a regression model of the correlation between energy consumption and temperature of the asphalt mixture and the hourly capacity and moisture in the mineral aggregate.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| 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".