A numerical package for model order reduction of large dimensional finite element systems of nonlinear vibrating structures based on invariant manifold theory

Autor: Opreni, Andrea, Vizzaccaro, Alessandra, Martin, Adrien, Touzé, Cyril, Frangi, Attilio Alberto
Přispěvatelé: Politecnico di Milano [Milan] (POLIMI), University of Bristol [Bristol], École Nationale Supérieure de Techniques Avancées (ENSTA Paris), Institut des Sciences de la mécanique et Applications industrielles (IMSIA - UMR 9219), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École Nationale Supérieure de Techniques Avancées (ENSTA Paris)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-EDF R&D (EDF R&D), EDF (EDF)-EDF (EDF), Institut Polytechnique de Paris (IP Paris), ENTPE - Université de Lyon
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: ENOC 2022-10th European Nonlinear Dynamics Conference
ENOC 2022-10th European Nonlinear Dynamics Conference, ENTPE-Université de Lyon, Jul 2022, Lyon, France
Popis: International audience; Dimensionality reduction through parametrisation of the system motion along a low dimensional invariant-based span of the phase space represents the most efficient technique for deriving reduced order models (ROM) of structures vibrating with large amplitudes. In this work we present the first release of an efficient software for deriving reduced models of structures based on the Direct Parametrisation of Invariant Manifolds (DPIM). The package exploits an algorithmic implementation of the method tailored for mechanical systems, hence achieving low memory consumption and unprecedented speed. Examples of large scale systems of industrial interest are shown and comparisons with experimental data and full order numerical simulations are reported.
Databáze: OpenAIRE