J
J. Parvizian
Researcher at Isfahan University of Technology
Publications - 42
Citations - 1512
J. Parvizian is an academic researcher from Isfahan University of Technology. The author has contributed to research in topics: Finite element method & Extended finite element method. The author has an hindex of 15, co-authored 38 publications receiving 1276 citations. Previous affiliations of J. Parvizian include Technische Universität München & Imperial College London.
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Finite cell method
TL;DR: In this article, a simple modification to the standard finite element method is presented, which is an extension of a partial differential equation beyond the physical domain of computation up to the boundaries of an embedding domain, which can easier be meshed.
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The finite cell method for three-dimensional problems of solid mechanics
TL;DR: In this article, a generalization of the finite cell method to three-dimensional problems of linear elasticity is presented, which combines ideas from embedding or fictitious domain methods with the p-based finite element method.
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Performance of different integration schemes in facing discontinuities in the finite cell method
TL;DR: In this paper, the Gauss quadrature is used to capture the discontinuity within an element and to perform a more precise integration, which is an extension of a high-order approximation space with the aim of simple meshing.
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Topology optimization using the finite cell method
TL;DR: Very attractive properties of the proposed method can be observed: Due to the high order approach the stress field in the optimized structure is approximated very accurately, no checkerboarding is observed, the iteratively found boundary of the structure is very smooth and the observed number of iterations is in general very small.
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The finite cell method for the J2 flow theory of plasticity
TL;DR: In this article, a modified quadtree integration scheme is presented for J"2 flow theory with nonlinear isotropic hardening for small displacements and small strains, combined with a radial return algorithm, is applied to find approximate solutions for the underlying physically nonlinear problem.