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      Paver Sensor System Performances on the Initial Smoothness of HMA Pavement

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      https://www.riss.kr/link?id=A105612735

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      다국어 초록 (Multilingual Abstract)

      PURPOSES: The performance of both string line and multi-sonic sensor systems were investigated with respect to achieving smoothness in a 5 cm-thick Stone Mastic Asphalt (SMA) wearing layer. METHODS: String line and multi-sonic sensor systems were app...

      PURPOSES: The performance of both string line and multi-sonic sensor systems were investigated with respect to achieving smoothness in a 5 cm-thick Stone Mastic Asphalt (SMA) wearing layer.
      METHODS: String line and multi-sonic sensor systems were applied in the leading and trailing lanes, respectively, with two-lane simultaneous paving.
      RESULTS: Two systems did not show any significant statistical difference in initial International Roughness Index(IRI). The multi-sonic sensor system produced smoothness similar to that by the string line system.
      CONCLUSIONS : The string line system was found to be very effective in eliminating roughness below a wavelength of about 2 m, confirming that a string line reference is the best system to obtain a smoother surface. A multi-sonic sensor system evidently demonstrated the capability of replicating a reference level and, partly showed a roughness averaging effect within the system length. It can further be concluded that the effect of smoothness of the underlying layer on the upper layer smoothness cannot be ignored.

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      목차 (Table of Contents)

      • ABSTRACT
      • 1. INTRODUCTION
      • 2. PAVER SENSOR FOR PAVEMENTSMOOTHNESS
      • 3. PAVER SENSOR SYSTEM TYPES
      • 3.1. Stringline System
      • ABSTRACT
      • 1. INTRODUCTION
      • 2. PAVER SENSOR FOR PAVEMENTSMOOTHNESS
      • 3. PAVER SENSOR SYSTEM TYPES
      • 3.1. Stringline System
      • 3.2. GPS System
      • 3.3. Multi-Sonic Sensor System
      • 3.4. Contact Long-Ski System
      • 4. METHOD
      • 4.1. Paving Information
      • 4.2. Continuous Paving
      • 4.3. Implemented Sensor Systems
      • 4.4. Data Collection and Analysis Tool
      • 5. RESULTS
      • 5.1. IRI Achievement
      • 5.2. Effect of the Underlying Layer on the IRI
      • 5.3. Spectral Analysis for Longitudinal Profiles
      • 5.4. Direct Profile Comparison
      • 6. FINDINGS AND CONCLUSIONS
      • REFERENCES
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