A stochastic filling and modeling algorithm of non-equal diameter particles with specified probability density for porous permeable materials

HIGHLIGHTS

• who: Wei Zhang and collaborators from the School of Mechanical and Electrical Engineering, Xi'an University of Architecture and Technology have published the research: A Stochastic Filling and Modeling Algorithm of Non-Equal Diameter Particles with Specified Probability Density for Porous Permeable Materials, in the Journal: Materials 2022, 15, x FOR PEER REVIEW As can be seen from Table 4, the sample data did not show statistical significance (p > 0.05), which means that the hypothesis (hypothesis: the data are normally distributed) is accepted and the sample has the characteristic of normality. The histogram of the sample . . .
  

   

  

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