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https://doi.org/10.31614/cmes.2018.04603
Title: | Structural design optimization using isogeometric analysis: A comprehensive review | Authors: | Wang, Y. Wang, Z. Xia, Z. Poh, L.H. |
Keywords: | Isogeometric analysis Sensitivity analysis Shape optimization Structural optimization Topology optimization |
Issue Date: | 2018 | Publisher: | Tech Science Press | Citation: | Wang, Y., Wang, Z., Xia, Z., Poh, L.H. (2018). Structural design optimization using isogeometric analysis: A comprehensive review. CMES - Computer Modeling in Engineering and Sciences 117 (3) : 455-507. ScholarBank@NUS Repository. https://doi.org/10.31614/cmes.2018.04603 | Rights: | Attribution 4.0 International | Abstract: | Isogeometric analysis (IGA), an approach that integrates CAE into conventional CAD design tools, has been used in structural optimization for 10 years, with plenty of excellent research results. This paper provides a comprehensive review on isogeometric shape and topology optimization, with a brief coverage of size optimization. For isogeometric shape optimization, attention is focused on the parametrization methods, mesh updating schemes and shape sensitivity analyses. Some interesting observations, e.g. the popularity of using direct (differential) method for shape sensitivity analysis and the possibility of developing a large scale, seamlessly integrated analysis-design platform, are discussed in the framework of isogeometric shape optimization. For isogeometric topology optimization (ITO), we discuss different types of ITOs, e.g. ITO using SIMP (Solid Isotropic Material with Penalization) method, ITO using level set method, ITO using moving morphable com-ponents (MMC), ITO with phase field model, etc., their technical details and applications such as the spline filter, multi-resolution approach, multi-material problems and stress con-strained problems. In addition to the review in the last 10 years, the current developmental trend of isogeometric structural optimization is discussed. Copyright � 2018 Tech Science Press. | Source Title: | CMES - Computer Modeling in Engineering and Sciences | URI: | https://scholarbank.nus.edu.sg/handle/10635/214082 | ISSN: | 15261492 | DOI: | 10.31614/cmes.2018.04603 | Rights: | Attribution 4.0 International |
Appears in Collections: | Staff Publications Elements |
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