Exploring the interdependencies between parameters in a material model.
Author(s) -
Stewart Silling,
Müge FermenCoker
Publication year - 2014
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/1189029
Subject(s) - interdependence , property (philosophy) , class (philosophy) , set (abstract data type) , basis (linear algebra) , plasticity , computer science , materials science , mathematics , artificial intelligence , composite material , geometry , sociology , epistemology , social science , philosophy , programming language
A method is investigated to reduce the number of numerical parameters in a material model for a solid. The basis of the method is to detect interdependencies between parameters within a class of materials of interest. The method is demonstrated for a set of material property data for iron and steel using the Johnson-Cook plasticity model.
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