Multi-fidelity Kriging extrapolation together with CFD for the design of the cross-section of a falling lifeboat

Multi-fidelity Kriging extrapolation together with CFD for the design of the cross-section of a falling lifeboat

Wenink, Robert (Student TU Delft)
van der Eijk, M. (Deltares)
Yorke-Smith, N. (TU Delft Algorithmics)
Wellens, P.R. (TU Delft Ship Hydromechanics and Structures)

2023

Surrogate modelling techniques such as Kriging are a popular means for cheaply emulating the response of expensive Computational Fluid Dynamics (CFD) simulations. These surrogate models are often used for exploring a parameterised design space and identifying optimal designs. Multi-fidelity Kriging extends the methodology to incorporate data of variable accuracy and costs to create a more effective surrogate. This work recognises that the grid convergence property of CFD solvers is currently an unused source of information and presents a novel method that, by leveraging the data structure implied by grid convergence, could further improve the performance of the surrogate model and the corresponding optimisation process. Grid convergence states that the simulation solution converges to the true simulation solution as the numerical grid is refined. The proposed method is tested with realistic multi-fidelity data acquired with CFD simulations. The performance of the surrogate model is comparable to an existing method, and likely more robust. More research is needed to explore the full potential of the proposed method. Code has been made available online at https://github.com/robertwenink/MFK-Extrapolation.

Computational Fluid Dynamics
design
Kriging
lifeboat
Multi-fidelity

http://resolver.tudelft.nl/uuid:4172c155-c9d6-40a4-b134-749871448f21

https://doi.org/10.3233/ISP-230013

0020-868X

International Shipbuilding Progress, 70 (2), 115-150

Institutional Repository

journal article

© 2023 Robert Wenink, M. van der Eijk, N. Yorke-Smith, P.R. Wellens