Publication result detail

Data-Driven Prediction of Stress Response for Inelastic Discrete RVE

RAISINGER, J.; NOVÁK, L.; ELIÁŠ, J.

Original Title

Data-Driven Prediction of Stress Response for Inelastic Discrete RVE

English Title

Data-Driven Prediction of Stress Response for Inelastic Discrete RVE

Type

Paper in proceedings outside WoS and Scopus

Original Abstract

The study presents two data-driven approaches, recurrent neural networks and polynomial chaos expansion, applied to the prediction of the homogenized response of meso-scale discrete lattice particle representative volume element models simulating the fracture behaviour of concrete. The lattice discrete particle model is shortly introduced, together with the homogenization technique. The data-driven approaches are described and employed. The results are presented together with a discussion about the applicability and advantages of both methods.

English abstract

The study presents two data-driven approaches, recurrent neural networks and polynomial chaos expansion, applied to the prediction of the homogenized response of meso-scale discrete lattice particle representative volume element models simulating the fracture behaviour of concrete. The lattice discrete particle model is shortly introduced, together with the homogenization technique. The data-driven approaches are described and employed. The results are presented together with a discussion about the applicability and advantages of both methods.

Keywords

Homogenization; Softening; Recurrent neural network; Polynomial chaos expansion

Key words in English

Homogenization; Softening; Recurrent neural network; Polynomial chaos expansion

Authors

RAISINGER, J.; NOVÁK, L.; ELIÁŠ, J.

Released

12.05.2025

ISBN

978-80-86246-96-3

Pages from

169

Pages to

172

Pages count

4

URL

https://www.engmech.cz/im/proceedings/show_p/2025/169

BibTex

@inproceedings{BUT199528,
  author="Jan {Raisinger} and Lukáš {Novák} and Jan {Eliáš}",
  title="Data-Driven Prediction of Stress Response for Inelastic Discrete RVE",
  year="2025",
  pages="169--172",
  doi="10.21495/em2025-169",
  isbn="978-80-86246-96-3",
  url="https://www.engmech.cz/im/proceedings/show_p/2025/169"
}