Survey of Shape Parameterization Techniques for High-Fidelity Multidisciplinary Shape Optimization

By J. Samareh. 2001

491 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/7204ba1f24a5d0b356941acb83e7c92268b02d20

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In Civil and Structural Engineering

In Computational Mechanics

Citations in the corpus

Metric-Based Mathematical Derivation of Efficient Airfoil Design Variables (2015, methodology): “Reviews of a range of parameterization methods have also been presented, and the reader is guided towards the work of Samareh [23, 24] and Nadarajah [25, 26].”
An adaptive geometry parametrization for aerodynamic shape optimization (2014, background): “There exist a large variety of parametrization methods for aerodynamic applications (Samareh 2001; Castonguay and Nadarajah 2007; Nadarajah et al 2007).”
Active Subspaces of Airfoil Shape Parameterizations (2017, unknown): “Samareh [5] surveys parameterization techniques for high-fidelity shape optimization.”
Design-space dimensionality reduction in shape optimization by Karhunen–Loève expansion (2015, methodology): “In this context, shape optimization research focuses on shape and topology parametrizations, as critical issues to achieve the desired level of design variability [13–15].”
Intuitive Class/Shape Function Parameterization for Airfoils (2014, methodology): “The Bezier polynomial and B-spline methods are widely used parameterization methods in aerodynamic design parameterization [1,6,7,8–10].”
High-fidelity global optimization of shape design by dimensionality reduction, metamodels and deterministic particle swarm (2015, methodology): “…B-splines (Grigoropoulos and Chalkias 2010), non-uniform rational B-spline (NURBS) and Bezier curves (Campana et al. 2006), free-form deformation (FFD) (Peri and Campana 2008), morphing approaches (Kandasamy et al. 2013), basis vector methods, domain element and discrete approaches (Samareh 2001).”
High-fidelity aerodynamic shape optimization using efficient orthogonal modal design variables with a constrained global optimizer (2017, background): “[22] J. A. Samareh, Status and future of geometric modelling and grid generation for design and optimization, Journal of Aircraft 36 (1) (1999) 97–104. doi:10.2514/2.2417.”
Universal Parametric Geometry Representation Method (2008, methodology): “Numerous methods [2–8] have been devised to numerically represent class 1 airfoil type geometries for use in aerodynamic design, optimization, and parametric studies.”
CFD‐based optimization of aerofoils using radial basis functions for domain element parameterization and mesh deformation (2008, methodology): “A comprehensive review of available parameterization methods is presented by Samareh [36, 37].”
Two-Level Free-Form and Axial Deformation for Exploratory Aerodynamic Shape Optimization (2015, methodology): “Numerical tools built upon optimal control theory are extremely promising in this regard [2], yet radically new configurations can only be discovered through flexible and efficient shape parameterizations [3].”