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Spline Approximation-Based Optimization of Multi-component Disperse Reinforced Composites
Author(s) -
Yuri Dimitrienko,
Andrey Drogolyub,
Е. А. Губарева
Publication year - 2015
Publication title -
nauka i obrazovanie
Language(s) - English
Resource type - Journals
ISSN - 1994-0408
DOI - 10.7463/0215.0757079
Subject(s) - composite material , component (thermodynamics) , materials science , spline (mechanical) , structural engineering , engineering , physics , thermodynamics

The paper suggests an algorithm for solving the problems of optimal design of multicomponent disperse-reinforced composite materials, which properties are defined by filler concentrations and are independent of their shape. It formulates the problem of conditional optimization of a composite with restrictions on its effective parameters - the elasticity modulus, tension and compression strengths, and heat-conductivity coefficient with minimized composite density. The effective characteristics of a composite were computed by finite-element solving the auxiliary local problems of elasticity and heat-conductivity theories appearing when the asymptotic averaging method is applied.

The algorithm suggested to solve the optimization problem includes the following main stages:

1) finding a set of solutions for direct problem to calculate the effective characteristics;

2) constructing the curves of effective characteristics versus filler concentrations by means of approximating functions, which are offered for use as a thin plate spline with smoothing;

3) constructing a set of points to satisfy restrictions and a boundary of the point set to satisfy restrictions obtaining, as a result, a contour which can be parameterized;

4) defining a global density minimum over the contour through psi-transformation.

A numerical example of solving the optimization problem was given for a dispersereinforced composite with two types of fillers being hollow microspheres: glass and phenolic. It was shown that the suggested algorithm allows us to find optimal filler concentrations efficiently enough.

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