Random sequential addition: A distribution function approach

1991 ◽  
Vol 63 (1-2) ◽  
pp. 167-202 ◽  
Author(s):  
Gilles Tarjus ◽  
Pierre Schaaf ◽  
Julian Talbot
Keyword(s):  
Distribution Function ◽  
Function Approach ◽  
Random Sequential Addition ◽  
Sequential Addition

scholarly journals Coordination number for random distribution of parallel fibres

2017 ◽  
Vol 38 (1) ◽  
pp. 3-26 ◽  
Author(s):  
Piotr Darnowski ◽  
Piotr Furmański ◽  
Roman Domanski
Keyword(s):  
Distribution Function ◽  
Coordination Number ◽  
Pair Distribution Function ◽  
Sequential Analysis ◽  
Random Distribution ◽  
Coordination Numbers ◽  
Random Sequential Addition ◽  
Wide Range ◽  
Parallel Fibres ◽  
Sequential Addition

AbstractThis paper presents the results of computer simulations carried out to determine coordination numbers for a system of parallel cylindrical fibres distributed at random in a circular matrix according to twodimensional pattern created by random sequential addition scheme. Two different methods to calculate coordination number were utilized and compared. The first method was based on integration of pair distribution function. The second method was the modified sequential analysis. The calculations following from ensemble average approach revealed that these two methods give very close results for the same neighbourhood area irrespective of the wide range of radii used for calculation.

A distribution function approach to point target resolution

1986 ◽  
Vol 10 (2) ◽  
pp. 153-170 ◽  
Author(s):  
Salvatore D Morgera ◽  
Narendra K Garg
Keyword(s):  
Distribution Function ◽  
Function Approach ◽  
Point Target

scholarly journals A Novel Approach to Discrete Representative Volume Element Automation and Generation-DRAGen

Materials ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 1887 ◽  
Author(s):  
Manuel Henrich ◽  
Felix Pütz ◽  
Sebastian Münstermann
Keyword(s):  
Input Data ◽  
Volume Element ◽  
Data Sets ◽  
Rsa Algorithm ◽  
Representative Volume ◽  
Novel Approach ◽  
Random Sequential Addition ◽  
Sequential Addition ◽  
Discrete Methods ◽  
Synthetic Microstructures

In this study, a novel approach for generating Representative Volume Elements (RVEs) is introduced. In contrast to common generators, the new RVE generator is based on discrete methods to reconstruct synthetic microstructures, using simple methods and a modular structure. The plain and uncomplicated structure of the generator makes the extension with new features quite simple. It is discussed why certain features are essential for microstructural simulations. The discrete methods are implemented into a python tool. A Random Sequential Addition (RSA)-Algorithm for discrete volumes is developed and the tessellation is realized with a discrete tessellation function. The results show that the generator can successfully reconstruct realistic microstructures with elongated grains and martensite bands from given input data sets.

A radial-distribution-function approach for predicting rodent carcinogenicity

2006 ◽  
Vol 12 (6) ◽  
pp. 769-780 ◽  
Author(s):  
Aliuska Morales Helguera ◽  
Miguel Ángel Cabrera Pérez ◽  
Maykel Pérez González
Keyword(s):  
Distribution Function ◽  
Radial Distribution Function ◽  
Radial Distribution ◽  
Function Approach ◽  
Rodent Carcinogenicity
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