级配
骨料(复合)
筛子(范畴论)
筛分分析
计算机科学
工艺工程
数学
工程类
人工智能
材料科学
岩土工程
组合数学
复合材料
作者
Craig Browne,A F Rauch,Carl T. Haas,H Y Kim
摘要
A number of automated test machines are commercially available for rapidly determining the grain size distribution of unbound aggregates. Designed to provide a faster alternative to standard sieve analyses, these machines capture and analyze digital images of the aggregate particles to determine gradation. Five of these test machines were evaluated for accuracy and performance using fifteen select samples of aggregate with different size, shape, and mineral characteristics. In this paper, several key issues in evaluating these machines are considered, including their accuracy when compared to standard sieve analyses.
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