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Journal of Random Structures and Algorithms 11(4), 1997: 345-367.
) An introduction to nonasymptotic methods for the study of random structures in high dimension that arise in probability, statistics, computer science, and mathematics.
Tracking the evolution of random structures during the course of cross-linking reactions has been the object of a considerable body of theoretical research.
In each case an ensemble of random structures has been generated by adding small point masses at random locations on the structure.
The averaging procedures implicit in the technique imply that the predicted energy is the mean value taken over an ensemble of random structures, such as a set of vehicles leaving a production line.
Methods of geometrical modelling of random structures are also addressed.
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The stress concentration factors and effective thermoelastic properties of random structure composites with dilute concentration of fibers are estimated in the vicinity of a free edge.
By averaging over a number of random structure realizations, the statistically meaningful results have been obtained for both the local stress and effective elastic moduli of disordered fibrous composite.
As before, the surrogate null hypothesis of random structure was rejected by Lempel-Ziv complexity with PNULL =.002 (NSURR = 499) in all cases.
Fig. 4 RVEs of polydisperse random structures with spherical inclusion of various volume fraction p: (a) 20%, (b) 30%, (c) 40%, (d) 50%, (e) 60%, (f) 70%.
A hybrid genetic algorithm with phenotypic local search designated as a Lamarckian genetic algorithm 21 was applied in 50 independent simulations with populations consisting of 300 random structures and a maximum of 300 generations.
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