Mixed-Fidelity Design Optimization of Hull Form Using CFD and Potential Flow Solvers

Mixed-Fidelity Design Optimization of Hull Form Using CFD and Potential Flow Solvers

The present paper proposes a new mixed-fidelity method to optimize the shape of ships using genetic algorithms (GA) and potential flow codes to evaluate the hydrodynamics of variant hull forms, enhanced by a surrogate model based on an Artificial Neural Network (ANN) to account for viscous effects....

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Bibliographic Details
Main Authors: Gregory J. Grigoropoulos, Christos Bakirtzoglou, George Papadakis, Dimitrios Ntouras
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Journal of Marine Science and Engineering
Subjects:
optimization
genetic algorithms
artificial neural networks
meta-models
multilevel optimization
potential flow
Online Access:https://www.mdpi.com/2077-1312/9/11/1234

Internet

https://www.mdpi.com/2077-1312/9/11/1234

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