The Thermoelectric Effect and High-Temperature Characteristics of Carbon Nanotubes Modified Asphalt Concrete
Bibliographic record
Abstract
The addition of Polymer or nano-particle generally improves the viscosity, rheological properties, and fatigue resistance of asphalt binder. However, the thermoelectric effect of nano-modified asphalt concrete has been barely investigated. In some regions, the surface temperature of asphalt pavement can reach 55°C, which is due to consistent solar radiation, whereas the base of road maintains a relatively stable temperature (i.e. 27°C to 33°C). The notable temperature gradient between the surface and base may be utilized to generate electrical power. Asphalt binder and concrete behave as insulators, thus carbon nanotube (CNT), a conductive nanomaterial, is probably a promising modifier. Various contents of CNTs were added into asphalt binder to examine the high-temperature characteristics, including penetration, ductility, and softening point. Rutting laboratory experiments were also carried out on modeled specimens to simulate field circumstances. Furthermore, an innovative thermoelectric effect experiment was conducted. The results indicate the addition of CNTs effectively improve the high temperature stability of modified asphalt concrete. The thermoelectric performance of modified asphalt concrete is considerable, with an electromotive force rate of 21.5 µV/°C.
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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".