作者: H. Al Akhras , T. Elguedj , A. Gravouil , M. Rochette
DOI: 10.1016/J.CMA.2016.04.028
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摘要: Abstract This paper presents an effective method to automatically construct trivariate spline models of complicated geometry and arbitrary topology required for NURBS-based isogeometric analysis. The input is a triangulation the solid model’s boundary. boundary surface decomposed into set cuboids in two steps: pants decomposition cuboid decomposition. novelty our pants-to-cuboids algorithm. algorithm completely automatic very robust even low-quality noisy meshes. composes generalized polycube approximating roughly while faithfully replicating its topology. Due regular structure, suitable serving as parametric domain tensor-product representation. Based on discrete harmonic mapping between cuboids’ polycube’s boundary, volume parameterizations are generated order fit splines. efficiency robustness proposed approach illustrated by several examples.