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Novel Weigh-in-Motion Pavement Sensor Based on Self-Sensing Nanocomposites for Vehicle Load Identification:
Ming Liang1, Yunfeng Zhang1, Yuepeng Jiao1
1School of Qilu Transportation, Shandong University, Jinan 250002, China.
Sensors (Basel, Switzerland)
|July 11, 2023
Summary
This study introduces a new road-embedded piezoresistive sensor using self-sensing nanocomposites for accurate weigh-in-motion (WIM) systems. The developed sensor effectively measures vehicle loads in asphalt pavements, improving efficiency and pavement lifespan.
Area of Science:
- Materials Science
- Civil Engineering
- Sensor Technology
Background:
- Overloaded vehicles accelerate asphalt pavement degradation, reducing service life.
- Traditional vehicle weighing methods are inefficient and require heavy equipment.
- Existing systems lack durability and efficiency for real-world applications.
Purpose of the Study:
- To develop a novel road-embedded piezoresistive sensor for weigh-in-motion (WIM) systems.
- To overcome the limitations of traditional vehicle weighing technologies.
- To create a durable and efficient sensor for dynamic load monitoring in asphalt pavements.
Main Methods:
- Fabrication of a piezoresistive sensor using epoxy resin/multi-walled carbon nanotube (MWCNT) nanocomposite.
- Utilizing integrated casting and high-temperature resistant encapsulation for sensor construction.
- Conducting calibration experiments and embedding sensors in asphalt concrete for in-situ validation.
Main Results:
- The sensor's resistance signal demonstrated a clear response to compressive stress, following the GaussAmp formula.
- The developed sensor exhibited excellent survival and functionality within the harsh asphalt concrete environment.
- The system successfully enabled dynamic weighing of vehicle loads, validating its practical application.
Conclusions:
- The novel piezoresistive sensor is effective for dynamic vehicle load monitoring in asphalt pavements.
- This technology offers a promising alternative to traditional, less efficient weighing methods.
- The study paves the way for advanced weigh-in-motion pavement sensors with enhanced performance.
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