Algorithm of constructing hybrid effective modules for elastic isotropic composites; IOP Conference Series: Materials Science and Engineering; Vol. 177 : Mechanical Engineering, Automation and Control Systems (MEACS 2016)

Podrobná bibliografie
Parent link:IOP Conference Series: Materials Science and Engineering
Vol. 177 : Mechanical Engineering, Automation and Control Systems (MEACS 2016).— 2017.— [012095, 5 p.]
Korporativní autor: Национальный исследовательский Томский политехнический университет (ТПУ) Институт физики высоких технологий (ИФВТ) Кафедра теоретической и прикладной механики (ТПМ)
Další autoři: Svetashkov A. A. Aleksandr Andreevich, Micinski J., Kupriyanov N. A. Nikolay Amvrosievich, Barashkov V. N., Lushnikov A. V.
Shrnutí:Title screen
The algorithm of constructing of new effective elastic characteristics of two-component composites based on the superposition of the models of Reiss and Voigt, Hashin and Strikman, as well as models of the geometric average for effective modules. These effective characteristics are inside forks Voigt and Reiss. Additionally, the calculations of the stress-strain state of composite structures with new effective characteristics give more accurate prediction than classical models do.
Jazyk:angličtina
Vydáno: 2017
Edice:Numerical simulation of applied problems
Témata:
On-line přístup:http://dx.doi.org/10.1088/1757-899X/177/1/012095
http://earchive.tpu.ru/handle/11683/37866
Médium: Elektronický zdroj Kapitola
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654078
Popis
Shrnutí:Title screen
The algorithm of constructing of new effective elastic characteristics of two-component composites based on the superposition of the models of Reiss and Voigt, Hashin and Strikman, as well as models of the geometric average for effective modules. These effective characteristics are inside forks Voigt and Reiss. Additionally, the calculations of the stress-strain state of composite structures with new effective characteristics give more accurate prediction than classical models do.
DOI:10.1088/1757-899X/177/1/012095