Analysis of and workarounds for element reversal for a finite element-based algorithm for warping triangular and tetrahedral meshes

TL;DR

This paper analyzes the causes of element reversal in the FEMWARP mesh warping algorithm and proposes techniques, including an optimization-based untangler, to improve its robustness in finite element mesh deformation.

Contribution

It identifies causes of element reversal in FEMWARP and introduces new methods, including an untangler, to enhance the algorithm's robustness.

Findings

FEMWARP can cause element reversals during mesh deformation.

Combining FEMWARP with an optimization-based untangler reduces reversals.

Proposed techniques improve the robustness of mesh warping algorithms.

Abstract

We consider an algorithm called FEMWARP for warping triangular and tetrahedral finite element meshes that computes the warping using the finite element method itself. The algorithm takes as input a two- or three-dimensional domain defined by a boundary mesh (segments in one dimension or triangles in two dimensions) that has a volume mesh (triangles in two dimensions or tetrahedra in three dimensions) in its interior. It also takes as input a prescribed movement of the boundary mesh. It computes as output updated positions of the vertices of the volume mesh. The first step of the algorithm is to determine from the initial mesh a set of local weights for each interior vertex that describes each interior vertex in terms of the positions of its neighbors. These weights are computed using a finite element stiffness matrix. After a boundary transformation is applied, a linear system of equations based upon the weights is solved to determine the final positions of the interior vertices. The FEMWARP algorithm has been considered in the previous literature (e.g., in a 2001 paper by Baker). FEMWARP has been succesful in computing deformed meshes for certain applications. However, sometimes FEMWARP reverses elements; this is our main concern in this paper. We analyze the causes for this undesirable behavior and propose several techniques to make the method more robust against reversals. The most successful of the proposed methods includes combining FEMWARP with an optimization-based untangler.