Isogeometric computation reuse method for complex objects with topology-consistent volumetric parameterization. (October 2017)

• Record Type: Journal Article
• Authors: Xu, Gang; Kwok, Tsz-Ho; Wang, Charlie C.L.
• Is Part Of: Computer aided design. Volume 91(2017)
• Page Start: 1
• Page End: 13
• Publication Date: 2017-10
• Subjects: Computation reuse -- Isogeometric analysis -- Consistent volume parameterization; Computer-aided design -- Periodicals; Engineering design -- Data processing -- Periodicals; Computer graphics -- Periodicals; Conception technique -- Informatique -- Périodiques; Infographie -- Périodiques; Computer graphics; Engineering design -- Data processing; Periodicals; Electronic journals; 620.00420285
• DOI: 10.1016/j.cad.2017.04.002
• Languages: English
• ISSNs: 0010-4485

Abstract

Abstract: Volumetric spline parameterization and computational efficiency are two main challenges in isogeometric analysis (IGA). To tackle this problem, we propose a framework of computation reuse in IGA on a set of three-dimensional models with similar semantic features. Given a template domain, B-spline based consistent volumetric parameterization is first constructed for a set of models with similar semantic features. An efficient quadrature-free method is investigated in our framework to compute the entries of stiffness matrix by Bézier extraction and polynomial approximation. In our approach, evaluation on the stiffness matrix and imposition of the boundary conditions can be pre-computed and reused during IGA on a set of CAD models. Examples with complex geometry are presented to show the effectiveness of our methods, and efficiency similar to the computation in linear finite element analysis can be achieved for IGA taken on a set of models. Highlights: A framework of computation reuse in IGA on a set of three-dimensional models with similar semantic features. An efficient quadrature-free method to compute the entries of stiffness matrix. Compared with IGA-Galerkin method, up to 15.4 times speedup can be observed on problems with large number of degree-of-freedom.