NANAFeb 20, 2018

Bézier $\bar{B}$ Projection

arXiv:1708.0774318 citationsh-index: 29
Originality Incremental advance
AI Analysis

For researchers in isogeometric analysis and structural mechanics, this provides a practical, local projection technique to address locking, though it is an incremental improvement over existing methods.

This paper introduces Bézier projection to mitigate locking in isogeometric analysis, achieving sparse stiffness matrices with minimal bandwidth increase and solutions comparable to global L² projection. The method is demonstrated on Timoshenko beams and nearly incompressible elasticity, showing effectiveness for both geometry and material locking.

In this paper we demonstrate the use of Bézier projection to alleviate locking phenomena in structural mechanics applications of isogeometric analysis. Interpreting the well-known $\bar{B}$ projection in two different ways we develop two formulations for locking problems in beams and nearly incompressible elastic solids. One formulation leads to a sparse symmetric symmetric system and the other leads to a sparse non-symmetric system. To demonstrate the utility of Bézier projection for both geometry and material locking phenomena we focus on transverse shear locking in Timoshenko beams and volumetric locking in nearly compressible linear elasticity although the approach can be applied generally to other types of locking phenemona as well. Bézier projection is a local projection technique with optimal approximation properties, which in many cases produces solutions that are comparable to global $L^2$ projection. In the context of $\bar{B}$ methods, the use of Bézier projection produces sparse stiffness matrices with only a slight increase in bandwidth when compared to standard displacement-based methods. Of particular importance is that the approach is applicable to any spline representation that can be written in Bézier form like NURBS, T-splines, LR-splines, etc. We discuss in detail how to integrate this approach into an existing finite element framework with minimal disruption through the use of Bézier extraction operators and a newly introduced dual basis for the Bézierprojection operator. We then demonstrate the behavior of the two proposed formulations through several challenging benchmark problems.

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