Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/141549
Title: Fracture processes numerical modeling of elastic-brittle bodies with statistically distributed subregions strength values
Authors: Feklistova, E. V.
Mugatarov, A. I.
Wildemann, V. E.
Agishev, A. A.
Issue Date: 2024
Publisher: Gruppo Italiano Frattura
Citation: Feklistova, E., Mugatarov, A., Wildemann, V., & Agishev, A. (2024). Fracture processes numerical modeling of elastic-brittle bodies with statistically distributed subregions strength values. Frattura ed Integrita Strutturale, 18(68), 425-439. https://doi.org/10.3221/IGF-ESIS.68.22
Abstract: This work is devoted to the fracture processes numerical modeling of elastic-brittle bodies taking into account the statistical distribution of subregions strength values and stress concentration. The novel formulation of the boundary value problem and its solution algorithm are developed. The loading diagrams obtained in computational simulations, the corresponding growth curves of the destroyed elements relative number and the damaging process kinetics are analyzed. The presence of the postcritical deformation stage at the macro-level is noted. The influence of the strength properties distribution range and the depth of the concentrator on the maximum load value and the damage evolution is determined. The significant influence of the finite elements’ properties distribution on the fracture processes modeling results is concluded. © 2023, Frat. Integrita Strutr. All rights reserved.
Keywords: BRITTLE BODY
FINITE ELEMENT METHOD
FRACTURE
NUMERICAL MODELING
STRENGTH PROPERTIES DISTRIBUTION
BOUNDARY VALUE PROBLEMS
BRITTLE FRACTURE
BRITTLENESS
DUCTILE FRACTURE
FINITE ELEMENT METHOD
GROWTH KINETICS
NUMERICAL METHODS
BOUNDARY-VALUE PROBLEM
BRITTLE BODY
COMPUTATIONAL SIMULATION
FRACTURE PROCESS
LOADING DIAGRAM
SOLUTION ALGORITHMS
STATISTICAL DISTRIBUTION
STRENGTH PROPERTY
STRENGTH PROPERTY DISTRIBUTION
STRENGTH VALUES
NUMERICAL MODELS
URI: http://elar.urfu.ru/handle/10995/141549
Access: info:eu-repo/semantics/openAccess
cc-by
SCOPUS ID: 85187125081
WOS ID: 001181602900002
PURE ID: 54324164
ISSN: 1971-8993
DOI: 10.3221/IGF-ESIS.68.22
metadata.dc.description.sponsorship: Perm National Research Polytechnic University; Russian Science Foundation, RSF, (22-19-00765); Russian Science Foundation, RSF
he work was carried out with support of the Russian Science Foundation (Project № 22-19-00765, T https://rscf.ru/project/22-19-00765/) in the Perm National Research Polytechnic University.
RSCF project card: Perm National Research Polytechnic University; 22-19-00765
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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