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Improved concept of representative directions: Cluster approach Full article

Journal International Journal of Solids and Structures
ISSN: 0020-7683
Output data Year: 2024, Number: 301, Article number : 112934, Pages count : 14 DOI: 10.1016/j.ijsolstr.2024.112934
Tags Constitutive modelling; Concept of representative directions; Cluster approach; Finite strain; Visco-elasto-plasticity
Authors Shutov A.V. 1,2 , Vardosanidze O.D. 1,2
Affiliations
1 Lavrentyev Institute of Hydrodynamics, Pr. Lavrentyeva 15, Novosibirsk 630090, Russia
2 Novosibirsk State University, Ul. Pirogova 1, Novosibirsk 630090, Russia

Funding (1)

1 Министерство науки и высшего образования Российской Федерации FWGG-2021-0012

Abstract: The concept of representative directions is a method for constitutive modelling that generalises uniaxial constitutive equations to the general multiaxial case. The simplicity of the concept allows both novice and experienced users to develop advanced material models, covering a wide range of nonlinear phenomena. This paper introduces the cluster approach, a new version of the concept that operates with clusters of fibres. Similar to the original concept, the cluster approach ensures objectivity and inherits the thermodynamic consistency of uniaxial models. The paper details the computational algorithms and presents numerical tests, highlighting the advantages of the new approach. Due to the smearing of fibres in orientation space, the cluster approach efficiently represents initially isotropic material behaviour with fewer clusters, making it computationally more efficient than the classical concept of representative directions. As a demonstration, the paper shows the adequacy of the cluster approach in capturing the actual inelastic behaviour of certain polymers and metals.
Cite: Shutov A.V. , Vardosanidze O.D.
Improved concept of representative directions: Cluster approach
International Journal of Solids and Structures. 2024. N301. 112934 :1-14. DOI: 10.1016/j.ijsolstr.2024.112934 WOS Scopus РИНЦ OpenAlex
Dates:
Submitted: Feb 9, 2024
Accepted: Jun 14, 2024
Published online: Jun 15, 2024
Identifiers:
Web of science: WOS:001259904300001
Scopus: 2-s2.0-85196645771
Elibrary: 67932184
OpenAlex: W4399701226
Citing: Пока нет цитирований
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