A mixed Petrov-Galerkin Cosserat rod finite element formulation

This paper presents a total Lagrangian mixed Petrov-Galerkin finite element formulation that provides a computationally efficient approach for analyzing Cosserat rods that is free of singularities and locking. To achieve a singularity-free orientation parametrization of the rod, the nodal kinematical unknowns are defined as the nodal centerline positions and unit quaternions. We apply Lagrange interpolation to all nodal kinematic coordinates, and in combination with a projection of non-unit quaternions, this leads to an interpolation with orthonormal cross-section-fixed bases. To eliminate locking effects such as shear locking, the variational Hellinger-Reissner principle is applied, resulting in a mixed approach with additional fields composed of resultant contact forces and moments. Since the mixed formulation contains the constitutive law in compliance form, it naturally incorporates constrained theories, such as the Kirchhoff-Love theory. This study specifically examines the influence of the additional internal force fields on the numerical performance, including locking mitigation and robustness. Using well-established benchmark examples, the method demonstrates enhanced computational robustness and efficiency, as evidenced by the reduction in required load steps and iterations when applying the standard Newton-Raphson method. 34 pages, 15 figures, to be published in the "Journal of Theoretical, Computational and Applied Mechanics"

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Publication Details

Journal
Journal of Theoretical Computational and Applied Mechanics
Published
2026-10-07
DOI
https://doi.org/10.46298/jtcam.16002
Citations
1
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
3.16
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article

A mixed Petrov-Galerkin Cosserat rod finite element formulation

Idoia Cortes Garcia, Leopoldo Greco, Marco Herrmann, Simon Raphael Eugster et al.
1 citations
Journal of Theoretical Computational and Applied Mechanics
Advanced Numerical Methods in Computational Mathematics
3.16
article

A mixed Petrov-Galerkin Cosserat rod finite element formulation

Idoia Cortes Garcia, Leopoldo Greco, Marco Herrmann, Simon Raphael Eugster, Jonas Breuling, Domenico Castello
article en
1 citations

Abstract

This paper presents a total Lagrangian mixed Petrov-Galerkin finite element formulation that provides a computationally efficient approach for analyzing Cosserat rods that is free of singularities and locking. To achieve a singularity-free orientation parametrization of the rod, the nodal kinematical unknowns are defined as the nodal centerline positions and unit quaternions. We apply Lagrange interpolation to all nodal kinematic coordinates, and in combination with a projection of non-unit quaternions, this leads to an interpolation with orthonormal cross-section-fixed bases. To eliminate locking effects such as shear locking, the variational Hellinger-Reissner principle is applied, resulting in a mixed approach with additional fields composed of resultant contact forces and moments. Since the mixed formulation contains the constitutive law in compliance form, it naturally incorporates constrained theories, such as the Kirchhoff-Love theory. This study specifically examines the influence of the additional internal force fields on the numerical performance, including locking mitigation and robustness. Using well-established benchmark examples, the method demonstrates enhanced computational robustness and efficiency, as evidenced by the reduction in required load steps and iterations when applying the standard Newton-Raphson method. 34 pages, 15 figures, to be published in the "Journal of Theoretical, Computational and Applied Mechanics"

Journal of Theoretical Computational and Applied Mechanics
Openalex Percentile: Top 17%
Advanced Numerical Methods in Computational Mathematics
3.16
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A mixed Petrov-Galerkin Cosserat rod finite element formulation — Idoia Cortes Garcia, Leopoldo Greco, et al. · Journal of Theoretical Computational and Applied Mechanics (2026) | TGRS Research Map | TGRS