We present a novel methodology to generate curved high-order meshes featuring optimal mesh quality and geometric accuracy. The proposed technique combines a distortion measure and a geometric L2-disparity measure into a single objective function. While the element distortion term takes into account the mesh quality, the L2-disparity term takes into account the geometric error introduced by the mesh approximation to the target geometry. The proposed technique has several advantages. First, we are not restricted to interpolative meshes and therefore, the resulting mesh approximates the target domain in a non-interpolative way, further increasing the geometric accuracy. Second, we are able to generate a series of meshes that converge to the ac...
In this thesis, a new framework to validate and generate curved high-order meshes for complex models...
In this thesis, a new framework to validate and generate curved high-order meshes for complex models...
This is the accepted version of the following article: [Gargallo-Peiró, A., Roca, X., Peraire, J., a...
AbstractWe present a novel methodology to generate curved high-order meshes featuring optimal mesh q...
We present a novel methodology to generate curved high-order meshes featuring optimal mesh quality a...
We present a novel methodology to generate curved high-order meshes featuring optimal mesh quality a...
We present a novel methodology to generate curved high-order meshes featuring optimal mesh quality a...
We present a novel methodology to generate curved high-order meshes featuring optimal mesh quality a...
AbstractWe present a novel methodology to generate curved high-order meshes featuring optimal mesh q...
We present a novel methodology to generate curved high-order meshes featuring optimal mesh quality a...
We present a novel methodology to generate curved high-order meshes featuring optimal mesh quality a...
AbstractWe define an 2-disparity measure between curved high-order meshes and parameterized manifold...
This is the accepted version of the following article: [Gargallo-Peiró, A., Roca, X., Peraire, J., a...
In this thesis, a new framework to validate and generate curved high-order meshes for complex models...
We define an2-disparity measure between curved high-order meshes and parameterized manifolds in term...
In this thesis, a new framework to validate and generate curved high-order meshes for complex models...
In this thesis, a new framework to validate and generate curved high-order meshes for complex models...
This is the accepted version of the following article: [Gargallo-Peiró, A., Roca, X., Peraire, J., a...
AbstractWe present a novel methodology to generate curved high-order meshes featuring optimal mesh q...
We present a novel methodology to generate curved high-order meshes featuring optimal mesh quality a...
We present a novel methodology to generate curved high-order meshes featuring optimal mesh quality a...
We present a novel methodology to generate curved high-order meshes featuring optimal mesh quality a...
We present a novel methodology to generate curved high-order meshes featuring optimal mesh quality a...
AbstractWe present a novel methodology to generate curved high-order meshes featuring optimal mesh q...
We present a novel methodology to generate curved high-order meshes featuring optimal mesh quality a...
We present a novel methodology to generate curved high-order meshes featuring optimal mesh quality a...
AbstractWe define an 2-disparity measure between curved high-order meshes and parameterized manifold...
This is the accepted version of the following article: [Gargallo-Peiró, A., Roca, X., Peraire, J., a...
In this thesis, a new framework to validate and generate curved high-order meshes for complex models...
We define an2-disparity measure between curved high-order meshes and parameterized manifolds in term...
In this thesis, a new framework to validate and generate curved high-order meshes for complex models...
In this thesis, a new framework to validate and generate curved high-order meshes for complex models...
This is the accepted version of the following article: [Gargallo-Peiró, A., Roca, X., Peraire, J., a...