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In statistical process control, control charts, particularly R charts, are instrumental in monitoring process variations and identifying non-random patterns that run charts might miss. R charts track the variability within process subgroups, which is crucial when standard deviation use is impractical or unknown process variations exist.
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Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
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Related Experiment Video

Updated: Jan 11, 2026

Laboratory Production of Biofuels and Biochemicals from a Rapeseed Oil through Catalytic Cracking Conversion
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Evaluation and Control of Variability in RAP Properties Through Refined Fractionation Processing Methods.

Yan Zhang1, Jiyang Li2, Yiren Sun2

  • 1City Institute, Dalian University of Technology, Dalian 116600, China.

Materials (Basel, Switzerland)
|November 13, 2025
PubMed
Summary

Processing reclaimed asphalt pavement (RAP) using refined fractionation significantly reduces variability in recycled asphalt mixtures. The four-fraction method offers the best balance of performance and cost-effectiveness for producing consistent, high-RAP content mixtures.

Keywords:
asphalt concretefractionation processgradationreclaimed asphalt pavementvariability

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Area of Science:

  • Civil Engineering
  • Materials Science
  • Sustainable Construction

Background:

  • Variability in reclaimed asphalt pavement (RAP) properties challenges the production of consistent recycled asphalt mixtures.
  • Key variability factors include aggregate gradation, asphalt content, and moisture content.

Purpose of the Study:

  • To systematically evaluate processing techniques for mitigating variability in RAP.
  • To compare the effectiveness of different RAP fractionation strategies (unfractionated, two-, four-, and six-fraction).

Main Methods:

  • Fabrication of four reference RAP mixtures by recombining RAP fractions.
  • Utilizing gray relational analysis (GRA) for efficient blend proportioning.
  • Assessing variability using statistical indicators (range, standard deviation, COV).

Main Results:

  • Refined fractionation processing significantly reduced variability, especially in gradation properties.
  • Four-fraction and six-fraction processing reduced COV by up to 51.5% and 73.5% compared to two-fraction processing.
  • The four-fraction approach provided the optimal balance between processing effort and variability control.

Conclusions:

  • Refined fractionation is crucial for producing uniform, high-RAP recycled asphalt mixtures.
  • Gray relational analysis is a practical tool for blend proportioning, reducing reliance on complex algorithms.
  • The four-fraction strategy is technically reliable and economically viable for RAP processing.