2020
DOI: 10.1007/s00466-020-01884-4
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Three-dimensional image-based modeling by combining SBFEM and transfinite element shape functions

Abstract: The scaled boundary finite element method (SBFEM) has recently been employed as an efficient tool to model three-dimensional structures, in particular when the geometry is provided as a voxel-based image. To this end, an octree decomposition of the computational domain is deployed, and each cubic cell is treated as an SBFE subdomain. The surfaces of each subdomain are discretized in the finite element sense. We improve on this idea by combining the semi-analytical concept of the SBFEM with a particular class o… Show more

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Cited by 10 publications
(4 citation statements)
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“…The aim of this paper is to derive a priori error estimates of SBFEM approximations for the case of Laplace's equation. Although numerical experiments in the literature point that optimal rates of convergence are obtained using SBFEM approximations [16,17], the mathematical demonstrations that give support to the observed numerical results are new contributions of the current work. For that, we explore two different aspects of SBFEM spaces, shared with Duffy's approximations [18] or with virtual harmonic spaces [19].…”
Section: Introductionmentioning
confidence: 62%
“…The aim of this paper is to derive a priori error estimates of SBFEM approximations for the case of Laplace's equation. Although numerical experiments in the literature point that optimal rates of convergence are obtained using SBFEM approximations [16,17], the mathematical demonstrations that give support to the observed numerical results are new contributions of the current work. For that, we explore two different aspects of SBFEM spaces, shared with Duffy's approximations [18] or with virtual harmonic spaces [19].…”
Section: Introductionmentioning
confidence: 62%
“…In this study, the two constraint conditions were the node delay and energy consumption constraint. e purpose of constraint allocation was to determine the allocation plan in the shortest time possible and to fairly allocate the best guaranteed time slot (GTS) resources in each superframe period to ensure communication quality of service (QoS) [24]. Common target allocation problems can be solved by the genetic algorithm, ant colony optimization algorithm, Markov chain state optimization algorithm, and other methods.…”
Section: Stitching Data Optimization Based On Simulatedmentioning
confidence: 99%
“…CT-scans are voxel models and directly describe the volume of an investigated artifact. These can be used as a direct input for a large variety of methods for computational analysis [4,5,6,7,8].…”
Section: Geometric Modelsmentioning
confidence: 99%