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Sieve analysis is a method used to determine the particle size distribution of aggregate materials. This process involves the following steps:
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Sampling materials are classified into three main types: solid, liquid, and gas.
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Sand gradation detection method based on local sampling.

Yang Zhang1, Danxia Hou2, Chuanyun Xu2

  • 1College of Computer and Information Science, Chongqing Normal University, Chongqing, 401331, China. zhangyang@cqnu.edu.cn.

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Summary
This summary is machine-generated.

This study introduces a localized sampling method for automated sand gradation inspection. This approach improves efficiency and accuracy in determining construction sand quality for better concrete performance.

Keywords:
Local SamplingMechanized sandSand gradation detection

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Area of Science:

  • Civil Engineering
  • Materials Science
  • Construction Technology

Background:

  • Sand gradation is crucial for concrete mix design, impacting strength and workability.
  • Traditional sieving methods for sand gradation analysis are inefficient.
  • Automated machine vision methods face challenges with fine sand particles (below 0.15 mm) due to imaging limitations.

Purpose of the Study:

  • To develop an automated sand gradation detection method for particles between 0.075 and 4.75 mm.
  • To overcome the limitations of capturing fine sand particles in automated inspection systems.
  • To enhance the efficiency and reduce the cost of construction sand quality control.

Main Methods:

  • A novel localized sampling technique was developed.
  • A hardware system featuring a flexible vibrating disk for uniform sand dispersion and random local sampling was created.
  • A software system was designed for gradation detection based on aggregated local sampling data.

Main Results:

  • The localized sampling method demonstrated a similar particle size distribution to the overall sample.
  • Multiple local sampling significantly reduced the gradation detection error.
  • The proposed method effectively captures the grain size gradation of construction sand.

Conclusions:

  • Localized sampling provides an effective solution for automated detection of sand grain size gradation (0.075–4.75 mm).
  • This method significantly increases the frequency of construction sand gradation detection.
  • Improved quality control of construction sand leads to enhanced overall construction quality.