This article is cited in 2 scientific papers (total in 2 papers)
Computer modeling deformation of porous elastoplastic materials and identification their characteristics using the principle of three-dimensional similarity
Abstract:
It is proposed to numerically model large deformations of porous specimens, using the 3D-similarity principle in structural elements, which makes it possible to account for the inhomogeneity of the stress-strain state due to the presence of pores and allows one to vary the number of representative volumes without changing porosity values and dimensions of the specimens. A methodology for determining true deformation diagrams of materials, using the results of compression tests, has been developed. The efficiency of using the 3D-similarity principle is demonstrated by comparing the numerical and experimental results for the example analyzing compression of porous specimens of an aluminum alloy with free lateral surfaces and fixed in a rigid cartridge.
The work was done with financial support from Grant №20-08-00667 of the Russian Fund for Fundamental Researches.
Received: 09.06.2021 Received in revised form: 09.07.2021 Accepted: 08.08.2021
Bibliographic databases:
Document Type:
Article
UDC:
539.5
Language: English
Citation:
Valentin G. Bazhenov, Maxim N. Zhestkov, “Computer modeling deformation of porous elastoplastic materials and identification their characteristics using the principle of three-dimensional similarity”, J. Sib. Fed. Univ. Math. Phys., 14:6 (2021), 746–755
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\paper Computer modeling deformation of porous elastoplastic materials and identification their characteristics using the principle of three-dimensional similarity
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https://www.mathnet.ru/eng/jsfu960
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This publication is cited in the following 2 articles:
Stepan V. Cheremnykh, “Deformation of Cylindrical Shell Made of 9X2 Steel Under Complex Loading”, Struct. Mech. of Eng. Const. and Build, 20:2 (2024), 159
Anastasia Yu. Kutishcheva, Sergey I. Markov, Communications in Computer and Information Science, 1733, High-Performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production, 2023, 62
Citation in format AMSBIB
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