TY - JOUR
T1 - T-splines based isogeometric topology optimization with arbitrarily shaped design domains
AU - Zhao, Gang
AU - Yang, Jiaming
AU - Wang, Wei
AU - Zhang, Yang
AU - Du, Xiaoxiao
AU - Guo, Mayi
N1 - Publisher Copyright:
© 2020 Tech Science Press. All rights reserved.
PY - 2020
Y1 - 2020
N2 - In this paper, a new isogeometric topology optimization (ITO) method is proposed by using T-splines based isogeometric analysis (IGA). The arbitrarily shaped design domains, directly obtained from CAD, are represented by a single T-spline surface which overcomes the topological limitations of Non-Uniform Rational B-Spline (NURBS). The coefficients correlated with control points are directly used as design variables. Therefore, the T-spline basis functions applied for geometry description and calculation of structural response are simultaneously introduced to represent the density distribution. Several numerical examples show that the proposed approach leads to a coherent workflow to handle design problems of complicated structures. The optimized results are free of checkerboard patterns without additional stabilization and filtering techniques due to the properties of T-splines, which also simplified the post-processing. In addition, through performing local refinement, we can easily achieve multiresolution optimization and infill optimization within the T-splines based framework. In general, the proposed method provides a possibility to design, analyze, and optimize engineering structures in a uniform model, which has the potential to improve design efficiency and reduce the cost of product development.
AB - In this paper, a new isogeometric topology optimization (ITO) method is proposed by using T-splines based isogeometric analysis (IGA). The arbitrarily shaped design domains, directly obtained from CAD, are represented by a single T-spline surface which overcomes the topological limitations of Non-Uniform Rational B-Spline (NURBS). The coefficients correlated with control points are directly used as design variables. Therefore, the T-spline basis functions applied for geometry description and calculation of structural response are simultaneously introduced to represent the density distribution. Several numerical examples show that the proposed approach leads to a coherent workflow to handle design problems of complicated structures. The optimized results are free of checkerboard patterns without additional stabilization and filtering techniques due to the properties of T-splines, which also simplified the post-processing. In addition, through performing local refinement, we can easily achieve multiresolution optimization and infill optimization within the T-splines based framework. In general, the proposed method provides a possibility to design, analyze, and optimize engineering structures in a uniform model, which has the potential to improve design efficiency and reduce the cost of product development.
KW - Bézier extraction
KW - Isogeometric analysis
KW - Topology optimization
KW - Unstructured T-splines
UR - https://www.scopus.com/pages/publications/85085506807
U2 - 10.32604/cmes.2020.09920
DO - 10.32604/cmes.2020.09920
M3 - 文章
AN - SCOPUS:85085506807
SN - 1526-1492
VL - 123
SP - 1033
EP - 1059
JO - CMES - Computer Modeling in Engineering and Sciences
JF - CMES - Computer Modeling in Engineering and Sciences
IS - 3
ER -