Data-driven constitutive laws for hyperelasticity in principal space using symbolic representations of Pytorch ANNs in FEniCS

Chau, Minh Vu

Poster (Scientific congresses, symposiums and conference proceedings)

Chau, Minh Vu

2021 • DTU DRIVEN Colloquium

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Keywords :

Artificial Neural Network; Computational data-driven; Principal space

Disciplines :

Mechanical engineering
Engineering, computing & technology: Multidisciplinary, general & others

Author, co-author :

Chau, Minh Vu ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)

External co-authors :

Language :

English

Title :

Data-driven constitutive laws for hyperelasticity in principal space using symbolic representations of Pytorch ANNs in FEniCS

Publication date :

21 May 2021

Number of pages :

Event name :

DTU DRIVEN Colloquium

Event organizer :

Andreas Zilian

Event place :

Esch-sur-Alzette, Luxembourg

Event date :

21-05-2021

Audience :

International

Focus Area :

Computational Sciences

FnR Project :

FNR12252781 - Data-driven Computational Modelling And Applications, 2017 (01/09/2018-28/02/2025) - Andreas Zilian

Name of the research project :

DRIVEN

Funders :

FNR - Fonds National de la Recherche [LU]

Available on ORBilu :

since 27 May 2021

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