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Antonio Rodríguez-Ferran

Researcher at Polytechnic University of Catalonia

Publications -  75
Citations -  2333

Antonio Rodríguez-Ferran is an academic researcher from Polytechnic University of Catalonia. The author has contributed to research in topics: Finite element method & Discretization. The author has an hindex of 20, co-authored 72 publications receiving 2084 citations.

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A finite points method approach for strain localization using the gradient plasticity formulation

TL;DR: In this article, the authors propose to solve the dependency of the softening elastoplastic models using the meshless Finite Points Method, which allows enriching the governing equations using gradient's plasticity and introducing an internal length scale parameter at the material model to objectify the solution.
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A note on a numerical benchmark test: an axisymmetric shell under ring loads

TL;DR: In this paper, a well-known numerical benchmark test which is usually solved with displacement control for low values of the load eccentricity is examined for a complete range of eccentricities of the ring load.
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The block gauss–seidel method in sound transmission problems

TL;DR: In this article, a block Gauss-Seidel iterative method is used in order to solve the finite element linear system of equations and the convergence criterion is analyzed and interpreted in physical terms by means of simple one-dimensional problems.
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Numerical modelling of the radiation efficiency of asymmetrical structures

TL;DR: In this paper, the radiation efficiency of asymmetrical structural elements like lightweight floors consisting of a beam-supported flat board is calculated for a two-dimensional cross-section by using finite elements and boundary elements.
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A combined XFEM phase-field computational model for crack growth without remeshing

TL;DR: In this paper, the phase-field equations are solved only in small subdomains around crack tips to determine propagation, while an XFEM discretization is used in the rest of the domain to represent sharp cracks, enabling to use a coarser discretisation and therefore reducing the computational cost.