![](/images/graphics-bg.png)
Prediction Model of Minimum Void Ratio for Various SizesShapes of Sandy Binary Mixture
Joint Authors
Shen, Chaojie
Xu, Zhaoyang
Yin, Jie
Wu, Jinfeng
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-30
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
The minimum void ratio is a fundamental physical index for evaluating particle properties in soil mechanics, ceramic processing, and concrete mixes.
Previous research found that both particle size distribution and particle shape characteristics would affect minimum void ratio, while the current research generally uses a linear model to estimate the minimum void ratio of a binary mixture, ignoring quantitative effect of particle shape on the minimum void ratio.
Based on a study of binary mixtures of natural sand from three different origins and iron particles of two different shapes, this paper analyzes the influence factors of the minimum void ratio, and a quadratic nonlinear model is proposed for estimating the minimum void ratio of binary mixture.
The model contains only one undetermined coefficient, a, the value of which is correlated to the particle sphericity, particle size, and particle size ratio.
A theoretical calculation formula for the coefficient a is proposed to quantitatively analyze the effects of these three factors on the size of the parameters.
In the end, the model is used to estimate the minimum void ratios of sand and substitute particles from different producing areas; the average difference between the estimated values and the fitted values is about 2.03%, suggesting that the estimated values of the model fit well with the measured data.
American Psychological Association (APA)
Shen, Chaojie& Xu, Zhaoyang& Yin, Jie& Wu, Jinfeng. 2020. Prediction Model of Minimum Void Ratio for Various SizesShapes of Sandy Binary Mixture. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1121019
Modern Language Association (MLA)
Shen, Chaojie…[et al.]. Prediction Model of Minimum Void Ratio for Various SizesShapes of Sandy Binary Mixture. Advances in Civil Engineering No. 2020 (2020), pp.1-19.
https://search.emarefa.net/detail/BIM-1121019
American Medical Association (AMA)
Shen, Chaojie& Xu, Zhaoyang& Yin, Jie& Wu, Jinfeng. Prediction Model of Minimum Void Ratio for Various SizesShapes of Sandy Binary Mixture. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1121019
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1121019