The modelling of layered rocks using a numerical homogenisation technique and an artificial neural network

• Autorzy: Urbański Aleksander , Ligęza Szymon , Przecherski Piotr

Identyfikatory

DOI

10.37705/TechTrans/e2023007

• Języki publikacji: EN

Abstrakty

EN

A method of creating a constitutive model of layered rocks based on an artificial neural network (ANN) is reported in this work. The ANN gives an implicit constitutive function Ʃⁿ⁺¹= F( Ʃⁿ , ΔE), relating the new state of homogenized stresses Ʃⁿ⁺¹ with the old state Ʃⁿ and with the increment of homogenized strains ΔƩ. The first step is to repeatedly run a strain- controlled homogenisation on an uni-dimensional finite element model of a periodic cell with elastic-plastic models (Drucker-Prager) of the components. Paths are created in (Ʃ, E) space, from which, a set of patterns is formed to train the ANN. A description of how to prepare this data and a discussion on ANN training issues are presented. Finally, the procedure based on trained ANN is put into a finite-element code (ZSoil.PC) as a user-delivered constitutive function. The approach is verified by comparing the results of the developed model basing on ANN with a direct (single-scale) analysis, which showed acceptable accuracy.

Słowa kluczowe

EN

layered rock; finite element method; homogenisation; artificial neural network

PL

skała warstwowa; metoda elementów skończonych; homogenizacja; sztuczna sieć neuronowa

• Wydawca: Wydawnictwo Politechniki Krakowskiej im. Tadeusza Kościuszki
• Czasopismo: Technical Transactions
• Rocznik: 2023
• Tom: Vol. 120, iss. 1
• Strony: art. no. e2023007
• Opis fizyczny: Bibliogr. 26 poz., rys., wz., wykr.

Twórcy

autor

Urbański Aleksander

• Cracow University of Technology, Idealogic Ltd.

• https://orcid.org/0000-0002-5544-9134

autor

Ligęza Szymon

• Doctoral Studies, AGH University of Science and Technology, Idealogic Ltd.

• https://orcid.org/0000-0001-6702-9260

autor

Przecherski Piotr

• Cracow University of Technology, Idealogic Ltd.

• https://orcid.org/0000-0001-5871-5496

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Uwagi

1. Section "Civil Engineering"

2. Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).