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Optimization of Embedded Sensor Packaging Used in Rollpave Pavement Based on Test and Simulation.

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Integrating sensors into Rollpave pavement is challenging due to poor interfacial synergy. Optimizing sensor packaging with a cylindrical, flat design and similar modulus material improves pavement performance and lifespan.

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Area of Science:

  • Civil Engineering
  • Materials Science
  • Smart Infrastructure

Background:

  • Rollable prefabricated asphalt pavement (Rollpave) offers reduced road closure times.
  • Integrating sensors into pavement enables smart infrastructure but faces challenges.
  • Existing methods risk sensor damage and pavement integrity due to high temperatures, forces, cutting, and drilling.

Purpose of the Study:

  • To address the poor interfacial synergy between embedded sensors and asphalt mixtures in Rollpave.
  • To optimize sensor packaging for improved integration and performance within Rollpave.
  • To analyze the impact of sensor embedment on Rollpave pavement under various conditions.

Main Methods:

  • Three-point bending tests were conducted on specimens with embedded sensors.
  • Finite element method (FEM) simulations were used to analyze dynamic responses.
  • The influence of packaging design (shape, flatness, material modulus) was investigated.

Main Results:

  • Low temperatures and epoxy resin packaging negatively impacted bending performance.
  • Optimal packaging features include a cylindrical shape, flat design, and a material modulus similar to the asphalt mixture.
  • Sensor embedment's effect on Rollpave pavement was analyzed under different working conditions.

Conclusions:

  • Optimized sensor packaging is crucial for successful integration into Rollpave.
  • Proper packaging enhances the performance and durability of smart pavement infrastructure.
  • This research contributes to advancing the intelligence and service life of road infrastructure.