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Study on quantification method for aggregate gradation of discrete Cemented Sand Gravel and Rock
Author(s) -
Wei Feng,
Jinsheng Jia,
Zhongwei Liu,
Yan Wang
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/330/4/042031
Subject(s) - gradation , geotechnical engineering , aggregate (composite) , grading (engineering) , geology , similarity (geometry) , soil gradation , materials science , engineering , composite material , civil engineering , computer science , water content , artificial intelligence , image (mathematics)
As a new damming technique, Cemented sand gravel and rock damming technique could fill the gap between the earth-rock dam and the concrete dam in material and improve the construction system. The largest characteristic of this material is that it directly adopts the aggregates in the engineering field and only aggregates with a particle size above 150 mm are screened. The aggregate gradation is discrete and fluctuating, so it is significant to study the methods of quantization and characterization of aggregate grading. Based on Fuller curve, this paper quantified the variation and dispersion of aggregate gradation via using similarity coefficient of aggregate gradation, average similarity coefficient, mean average similarity coefficient and standard deviation of similarity coefficient, which has provided significant guidance for the real practice. Relevant quantization methods not only assist to differentiate the grading boundary including the thinnest and roughest graded aggregate, but also master the grading changes and predict the dispersion degree of strength of Cemented sand gravel and rock from the dispersion degree of aggregate, which could provide a scientific reference for the mixing design of Cemented sand gravel and rock

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