@Article{cmes.2023.025983,
AUTHOR = {Jingwen Ren, Hongwei Lin,2},
TITLE = {New Perspective to Isogeometric Analysis: Solving Isogeometric Analysis Problem by Fitting Load Function},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {136},
YEAR = {2023},
NUMBER = {3},
PAGES = {2957--2984},
URL = {http://www.techscience.com/CMES/v136n3/51806},
ISSN = {1526-1506},
ABSTRACT = {Isogeometric analysis (IGA) is introduced to establish the direct link between computer-aided design and analysis.
It is commonly implemented by Galerkin formulations (isogeometric Galerkin, IGA-G) through the use of
nonuniform rational B-splines (NURBS) basis functions for geometric design and analysis. Another promising
approach, isogeometric collocation (IGA-C), working directly with the strong form of the partial differential
equation (PDE) over the physical domain defined by NURBS geometry, calculates the derivatives of the numerical
solution at the chosen collocation points. In a typical IGA, the knot vector of the NURBS numerical solution is only
determined by the physical domain. A new perspective on the IGA method is proposed in this study to improve the
accuracy and convergence of the solution. Solving the PDE with IGA can be regarded as fitting the load function
defined on the NURBS geometry (right-hand side) with derivatives of the NURBS numerical solution (left-hand
side). Moreover, the design of the knot vector has a close relationship to the NURBS functions to be fitted in the area
of data fitting in geometric design. Therefore, the detected feature points of the load function are integrated into the
initial knot vector of the physical domain to construct the new knot vector of the numerical solution. Then, they are
connected seamlessly with the IGA-C framework for its great potential combining the accuracy and smoothness
merits with the computational efficiency, which we call *isogeometric collocation by fitting load function (IGA-CL)*. In numerical experiments, we implement our method to solve 1D, 2D, and 3D PDEs and demonstrate the
improvement in accuracy by comparing it with the standard IGA-C method. We also verify the superiority in the
accuracy of our knot selection scheme when employed in the IGA-G method, which we call *isogeometric Galerkin
by fitting load function (IGA-GL)*.},
DOI = {10.32604/cmes.2023.025983}
}