Autor: Beluch, W. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Multiobjective and multiscale optimization of composite materials by means of evolutionary computations
Autorzy:: Beluch, W.
Długosz, A.
Powiązania:: https://bibliotekanauki.pl/articles/280584.pdf
Data publikacji:: 2016
Wydawca:: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:: composite
numerical homogenization
multiobjective optimization
evolutionary algorithm
Opis:: The paper deals with the multiobjective and multiscale optimization of heterogeneous structures by means of computational intelligence methods. The aim of the paper is to find optimal properties of composite structures in a macro scale modifying their microstructure. At least two contradictory optimization criteria are considered simultaneously. A numerical homogenization concept with a representative volume element is applied to obtain equivalent macro-scale elastic constants. An in-house multiobjective evolutionary algorithm MOOPTIM is applied to solve the considered optimization tasks. The finite element method is used to solve the boundary-value problem in both scales. A numerical example is attached.
Źródło:: Journal of Theoretical and Applied Mechanics; 2016, 54, 2; 397-409
1429-2955
Pojawia się w:: Journal of Theoretical and Applied Mechanics
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Granular computational homogenisation of composite structures with imprecise parameters
Autorzy:: Beluch, W.
Hatłas, M.
Ptaszny, J.
Powiązania:: https://bibliotekanauki.pl/articles/38696696.pdf
Data publikacji:: 2023
Wydawca:: Instytut Podstawowych Problemów Techniki PAN
Tematy:: computational homogenisation
granular computations
fuzzy number
directed interval arithmetic
response surface
finite element method
Opis:: The paper presents the formulation of a granular computational homogenisation problem and the proposition of a method to solve it, which enables multiscale analysis of materials with uncertain microstructure parameters. The material parameters and the geometry, represented by the interval and fuzzy numbers, are assumed to be unprecise. An _-cut representation of fuzzy numbers allows the use of interval arithmetic for epistemic uncertainties. Directed interval arithmetic is used to reduce the effect of interval widening during arithmetic operations. Response surfaces of diverse types, including Artificial Neural Networks, are used as model reduction methods. The finite element method is employed to solve the boundary value problem on a micro scale. Numerical examples are provided to demonstrate the effectiveness of the proposed approach.
Źródło:: Archives of Mechanics; 2023, 75, 3; 271-300
0373-2029
Pojawia się w:: Archives of Mechanics
Dostawca treści:: Biblioteka Nauki

Artykuł

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