Computer analysis of behavior of heterogeneous materials

  • Tulashvili Y.Y., Doctor of Pedagogic, Professor Lutsk National Technical University, Lutsk
  • Koshelyuk V. A., Ph.D. Lutsk National Technical University, Lutsk
Keywords: computer analysis, calculation, deformations, tension, heterogeneous materials.

Abstract

The article discusses the features of the application of methods of computer processing of experimental data, the use of a method for modeling the behavior of structurally inhomogeneous materials under the action of load and temperature exposure within the thermal conductivity problem for the probabilistic assessment of the residual life and fatigue failure of structures.

For solving the problems of thermoelasticity for structurally heterogeneous anisotropic elements modified quarter-point finite elements are developed on the basis of the varia-tional relations of heat conductivity and thermoelasticity problems.

The main result of this work was the creation of a computer system for analyzing the behavior of structurally inhomogeneous materials, which is realized by processing experimental data on the mechanical properties of products made of powder materials. Based on mathematical modeling of their deformation processes in order to study the deformation and strength properties of structurally inhomogeneous materials, viscoelastic solids in the field of loads close to their operating conditions, based on mathematical modeling of deformation processes.

There are developed software for computer analysis and for finite-element analysis of the composite bodies with cracks, which allow producing fast and reliable analysis of strength of structural elements from composite materials, and allows development of mathematical models of real products, changing the design without experiments, perform simulation of investigated structural elements accounting for different physics processes and properties, their geometry, properties of materials, operational and other characteristics.

During the calculation are the major statistical indicators such as arithmetic mean, mean square, expectation, variance, relative measurement error and so on.

Published
2020-08-23