Design-space dimensionality reduction in shape optimization by Karhunen-Loève expansion

DOI10.1016/j.cma.2014.10.042zbMath1423.74743OpenAlexW2077913308MaRDI QIDQ1667530

Matteo Diez, Frederick Stern, Emilio Fortunato Campana

Publication date: 30 August 2018

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2014.10.042

zbMATH Keywords

shape optimizationKarhunen-Loève expansiondesign-space dimensionality reductionhydrodynamic optimizationsimulation-based design

Mathematics Subject Classification ID

Topological methods for optimization problems in solid mechanics (74P15)

Related Items (15)

Derivative-free global ship design optimization using global/local hybridization of the DIRECT algorithm ⋮ Investigation of adaptive design variables bounds in dimensionality reduction for aerodynamic shape optimization ⋮ Non-intrusive reduced order modelling of fluid-structure interactions ⋮ Parametric model embedding ⋮ Optimization by moving ridge functions: derivative-free optimization for computationally intensive functions ⋮ A non-intrusive reduced-order model for compressible fluid and fractured solid coupling and its application to blasting ⋮ A stochastic finite element scheme for solving partial differential equations defined on random domains ⋮ An efficient topology description function method based on modified sigmoid function ⋮ Error estimation of the parametric non-intrusive reduced order model using machine learning ⋮ A multi-objective \textbf{DIRECT} algorithm for ship hull optimization ⋮ 2D shape optimization under proximity constraints by CFD and response surface methodology ⋮ A parameterized non-intrusive reduced order model and error analysis for general time-dependent nonlinear partial differential equations and its applications ⋮ Simulation of multi-dimensional random fields by Karhunen-Loève expansion ⋮ Acceleration of shape optimization analysis using model order reduction by Karhunen-Loève expansion ⋮ Design optimization for self-propulsion of a bulk carrier hull using a discrete adjoint method

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