scholarly journals Characterizations and Modeling the Influence of Particle Size Distributions (PSD) of Glass Powder on the Mechanical Behavior of Normal Strength Concrete

2020 ◽  
Vol 8 (5) ◽  
pp. 993-1005
Author(s):  
Brwa Omer ◽  
Jalal Saeed
Keyword(s):  
Particle Size ◽  
Mechanical Behavior ◽  
Glass Powder ◽  
Size Distributions ◽  
Particle Size Distributions ◽  
Normal Strength Concrete ◽  
Strength Concrete ◽  
Normal Strength

scholarly journals Use of machine learning for unraveling hidden correlations between particle size distributions and the mechanical behavior of granular materials

2021 ◽  
Author(s):  
Ignacio González Tejada ◽  
P. Antolin
Keyword(s):  
Particle Size ◽  
Mechanical Behavior ◽  
Granular Materials ◽  
Triaxial Compression ◽  
Training Data ◽  
Model Parameters ◽  
Size Distributions ◽  
Particle Size Distributions ◽  
Hidden Correlations ◽  
Dense Packings

AbstractA data-driven framework was used to predict the macroscopic mechanical behavior of dense packings of polydisperse granular materials. The discrete element method, DEM, was used to generate 92,378 sphere packings that covered many different kinds of particle size distributions, PSD, lying within 2 particle sizes. These packings were subjected to triaxial compression and the corresponding stress–strain curves were fitted to Duncan–Chang hyperbolic models. An artificial neural network (NN) scheme was able to anticipate the value of the model parameters for all these PSDs, with an accuracy similar to the precision of the experiment and even when the NN was trained with a few hundred DEM simulations. The estimations were indeed more accurate than those given by multiple linear regressions (MLR) between the model parameters and common geotechnical and statistical descriptors derived from the PSD. This was achieved in spite of the presence of noise in the training data. Although the results of this massive simulation are limited to specific systems, ways of packing and testing conditions, the NN revealed the existence of hidden correlations between PSD of the macroscopic mechanical behavior.

254. A Comparison of the Particle Size Distributions for Aerosols Generated During Wet Grinding and Dry Deburring of Beryllium

1999 ◽  
Author(s):  
K.K. Ellis ◽  
R. Buchan ◽  
M. Hoover ◽  
J. Martyny ◽  
B. Bucher-Bartleson ◽  
...  
Keyword(s):  
Particle Size ◽  
Size Distributions ◽  
Particle Size Distributions ◽  
Wet Grinding

Measurements of Mineral Particle Size Distributions by a Buoyancy Weighing Method

2010 ◽  
Vol 126 (10/11) ◽  
pp. 577-582 ◽  
Author(s):  
Katsuhiko FURUKAWA ◽  
Yuichi OHIRA ◽  
Eiji OBATA ◽  
Yutaka YOSHIDA
Keyword(s):  
Particle Size ◽  
Mineral Particle ◽  
Size Distributions ◽  
Particle Size Distributions ◽  
Weighing Method
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