Mechanical and Vibrational Characterization of Reinforced Composite Rubber/Calcium Carbonate for Compressive Optical Sensor Housing
Bibliographic record
Abstract
A weigh-in-motion (WIM) sensor is a versatile unit that dynamically monitors the vehicle load, which is suitable for high-mobility traffic.However, the dynamic measurement requires sufficient physical property for the sensor housing in order to maintain the effective reading process and response time.The present work assesses the potential of reinforced silicone rubber as a compressive sensor housing.The reinforcement uses calcium carbonate (CaCO3) and spring wire.The tensile strength of the composite rubber increases up to 56.5% by adding 15 wt% CaCO3.The maximum deflection of the composite is obtained at 12.92 mm at a load of 160 kg, which is higher compared to the rubber (maximum load of 70 kg).The spring within the composite maintains sufficient deflection profile around 180-220 kg, indicating a better mechanical strength.The response time for reinforced composite rubber is less than 200 ms (milliseconds), demonstrating a notable reading performance.Moreover, surface observation through scanning electron microscope (SEM) implies suitable material conformity between rubber and CaCO3, making the proposed method can be taken as a convenient manufacturing method for producing compressive sensor housing.
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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 | 0.000 |
| 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) | 0.001 | 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".