
The paper presents an isogeometric shape optimization method that is based on Bézier triangles. Bézier triangles are used to represent both the geometry and physical fields. For a given physical domain defined by B-spline boundary, triangular Bézier parameterization can be automatically generated. This shape optimization method is thus applicable to structures of complex topology. Due to the use of B-spline parameterization of the boundary, the optimized shape can be compactly represented with a relatively small number of optimization variables. In order to ensure mesh validity during shape optimization, we adopt a bi-level mesh representation, where the coarse mesh is used to maintain mesh quality through positivity of Jacobian ordinates of the Bézier triangles. The fine mesh is used in isogeometric analysis for numerical accuracy. Numerical examples are presented to demonstrate the efficacy of the proposed method.
Finite element methods applied to problems in solid mechanics, Classical linear elasticity, negative Poisson's ratio, isogeometric shape optimization, Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs, Bézier triangles, coarse and fine mesh, distance constraints, material design, Numerical computation using splines, Geometrical methods for optimization problems in solid mechanics
Finite element methods applied to problems in solid mechanics, Classical linear elasticity, negative Poisson's ratio, isogeometric shape optimization, Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs, Bézier triangles, coarse and fine mesh, distance constraints, material design, Numerical computation using splines, Geometrical methods for optimization problems in solid mechanics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 38 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
