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Multi‐scale approach for strength properties estimation in functional materials
Author(s) -
Gitman I. M.,
Klyuev A. V.,
Gitman M. B.,
Stolbov V. Yu.
Publication year - 2018
Publication title -
zamm ‐ journal of applied mathematics and mechanics / zeitschrift für angewandte mathematik und mechanik
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.449
H-Index - 51
eISSN - 1521-4001
pISSN - 0044-2267
DOI - 10.1002/zamm.201700265
Subject(s) - set (abstract data type) , macro , material properties , fuzzy set , computer science , scale (ratio) , materials science , fuzzy logic , biological system , structural engineering , composite material , artificial intelligence , engineering , physics , quantum mechanics , biology , programming language
A new methodology to obtain metallic functional materials with predefined sets of strength properties has been developed. It has been shown that in order to accurately estimate set of material properties at the macro‐level, information from the micro‐level needs to be taken into account. As a result a two‐level estimation model, based on the theory of fuzzy sets, has been proposed. To demonstrate the developed methodology, a reinforcing steel has been analysed. Using microstructural information, derived from an available set of experimentally obtained digital images of material microsections under different heat treatment conditions, macroscopic strength properties of reinforcing steel have been determined.