Finite cell method
By Jamshid Parvizian, Alexander Düster, Ernst Rank. 2007
566 citations recorded by the source corpus.
Subfields: Computational Mechanics, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/686a3f730a2aaf8dafcc24c6a67e08813b549b26
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Dominik Schillinger
- Martin Ruess
- Alexander Düster
- Ernst Rank
- Thomas J. R. Hughes
- Clemens V. Verhoosel
- Nils Zander
- Yuri Bazilevs
In Mechanics of Materials
- Dominik Schillinger
- Alexander Düster
- Martin Ruess
- Iason Papaioannou
- Ernst Rank
- Daniel Straub
- Yuri Bazilevs
- Nils Zander
Citations in the corpus
- On utilizing topology optimization to design support structure to prevent residual stress induced build failure in laser powder bed metal additive manufacturing (2019, methodology): “The FCM, as a type of fictitious domain method, was first proposed by Parvizian et al [55] in 2007.”
- Image-based goal-oriented adaptive isogeometric analysis with application to the micro-mechanical modeling of trabecular bone (2015, methodology): “In this method a trivariate tensor-product domain is created in which the complex domain of interest is immersed [10,11].”
- Numerical methods for the discretization of random fields by means of the Karhunen–Loève expansion (2014, methodology): “Higher-order basis functions are of crucial importance for the applicability of the method because they yield a fast rate of convergence [17].”
- Small and large deformation analysis with the p- and B-spline versions of the Finite Cell Method (2012, methodology): “In Ωfict, α must be chosen as small as possible, but large enough to prevent extreme ill-conditioning of the stiffness matrix [28,29].”
- An immersogeometric variational framework for fluid–structure interaction: application to bioprosthetic heart valves (2014, unknown): “[108] and illustrated in Figure 1, is a technique for solving partial differential equations posed on complex geometries by extending the computational domain to a more tractable shape, such as a rectangular prism bounding the original domain.”
- Additive manufacturing in construction: A review on processes, applications, and digital planning methods (2019, methodology): “6) [144,145], by decomposing the domain with the Mortar method [146,147], and by homogenizing heterogeneous structures [148,149].”