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Main Authors: Brugnoli, Andrea, Matignon, Denis, Morlier, Joseph
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2503.04695
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author Brugnoli, Andrea
Matignon, Denis
Morlier, Joseph
author_facet Brugnoli, Andrea
Matignon, Denis
Morlier, Joseph
contents This work presents a novel formulation and numerical strategy for the simulation of geometrically nonlinear structures. First, a non-canonical Hamiltonian (Poisson) formulation is introduced by including the dynamics of the stress tensor. This framework is developed for von-Kármán nonlinearities in beams and plates, as well as geometrically nonlinear elasticity with Saint-Venant material behavior. In the case of plates, both negligible and non-negligible membrane inertia are considered. For the former case the two-dimensional elasticity complex is leveraged to express the dynamics in terms of the Airy stress function. The finite element discretization employs a mixed approach, combining a conforming approximation for displacement and velocity fields with a discontinuous stress tensor representation. A staggered, linear implicit time integration scheme is proposed, establishing connections with existing explicit-implicit energy-preserving methods. The stress degrees of freedom are statically condensed, reducing the computational complexity to solving a system with a positive definite matrix. The integration strategy preserves energy and angular momentum exactly. The methodology is validated through numerical experiments on the Duffing oscillator, a von-Kármán beam, and a column undergoing finite deformations. Comparisons with fully implicit energy-preserving method and the leapfrog scheme demonstrate that the proposed approach achieves superior accuracy while maintaining energy stability. Additionally, it enables larger time steps compared to explicit schemes and exhibits computational efficiency comparable to the leapfrog method.
format Preprint
id arxiv_https___arxiv_org_abs_2503_04695
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A linearly-implicit energy-momentum preserving scheme for geometrically nonlinear mechanics based on non-canonical Hamiltonian formulations
Brugnoli, Andrea
Matignon, Denis
Morlier, Joseph
Numerical Analysis
Computational Physics
This work presents a novel formulation and numerical strategy for the simulation of geometrically nonlinear structures. First, a non-canonical Hamiltonian (Poisson) formulation is introduced by including the dynamics of the stress tensor. This framework is developed for von-Kármán nonlinearities in beams and plates, as well as geometrically nonlinear elasticity with Saint-Venant material behavior. In the case of plates, both negligible and non-negligible membrane inertia are considered. For the former case the two-dimensional elasticity complex is leveraged to express the dynamics in terms of the Airy stress function. The finite element discretization employs a mixed approach, combining a conforming approximation for displacement and velocity fields with a discontinuous stress tensor representation. A staggered, linear implicit time integration scheme is proposed, establishing connections with existing explicit-implicit energy-preserving methods. The stress degrees of freedom are statically condensed, reducing the computational complexity to solving a system with a positive definite matrix. The integration strategy preserves energy and angular momentum exactly. The methodology is validated through numerical experiments on the Duffing oscillator, a von-Kármán beam, and a column undergoing finite deformations. Comparisons with fully implicit energy-preserving method and the leapfrog scheme demonstrate that the proposed approach achieves superior accuracy while maintaining energy stability. Additionally, it enables larger time steps compared to explicit schemes and exhibits computational efficiency comparable to the leapfrog method.
title A linearly-implicit energy-momentum preserving scheme for geometrically nonlinear mechanics based on non-canonical Hamiltonian formulations
topic Numerical Analysis
Computational Physics
url https://arxiv.org/abs/2503.04695