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Full analytical sensitivities in NURBS based isogeometric shape optimization
Authors:Xiaoping Qian
Affiliation:1. Department of Civil and Environmental Engineering, Brigham Young University, Provo, UT 84602, USA;2. Department of Physics & Astronomy, Brigham Young University, Provo, UT 84602, USA;3. Department of Mathematics, Brigham Young University, Provo, UT 84602, USA;1. School of Mechanical and Automobile Engineering, Fujian University of Technology, Fuzhou 350108, China;2. Centre for Innovative Structures and Materials, School of Civil, Environmental and Chemical Engineering, RMIT University, GPO Box 2476, Melbourne, 3001, Australia;3. Department of Building Engineering, Tongji University, Shanghai 200092, China
Abstract:Non-uniform rational B-spline (NURBS) has been widely used as an effective shape parameterization technique for structural optimization due to its compact and powerful shape representation capability and its popularity among CAD systems. The advent of NURBS based isogeometric analysis has made it even more advantageous to use NURBS in shape optimization since it can potentially avoid the inaccuracy and labor-tediousness in geometric model conversion from the design model to the analysis model.Although both positions and weights of NURBS control points affect the shape, until very recently, usually only control point positions are used as design variables in shape optimization, thus restricting the design space and limiting the shape representation flexibility.This paper presents an approach for analytically computing the full sensitivities of both the positions and weights of NURBS control points in structural shape optimization. Such analytical formulation allows accurate calculation of sensitivity and has been successfully used in gradient-based shape optimization.The analytical sensitivity for both positions and weights of NURBS control points is especially beneficial for recovering optimal shapes that are conical e.g. ellipses and circles in 2D, cylinders, ellipsoids and spheres in 3D that are otherwise not possible without the weights as design variables.
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